sim_swot_timeseries.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7c8c560e-d41a-49a9-965f-220607468e42",
   "metadata": {
    "tags": []
   },
   "source": [
    "## **Build a Time Series of SWOT Simulated Data**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0387625-8bbe-48af-8636-02dd83d15a77",
   "metadata": {},
   "source": [
    "#### **Import libraries**\n",
    "In additional to libraries from the first tutorial, also import libraries needed to submit CMR requests."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "dfdd7f20-8c99-4efb-88c2-812a5d14c526",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "from IPython.display import display, JSON\n",
    "from datetime import datetime, timedelta, time\n",
    "\n",
    "# highlight the harmony-py library\n",
    "from harmony import BBox, Client, Collection, Request, Environment, LinkType \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# Additional libraries compared to the first tutorial.\n",
    "from urllib import request\n",
    "import json\n",
    "import requests\n",
    "import sys\n",
    "import shutil\n",
    "from urllib.parse import urlencode"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f6ef994-ebe1-411f-a114-db2bea729eaa",
   "metadata": {},
   "source": [
    "#### **Let's start up the client from the harmony-py library and define the CMR url.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a42e431d-8acd-485d-8026-df425bb94dab",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "harmony_client = Client(env=Environment.PROD)\n",
    "cmr_root = 'cmr.earthdata.nasa.gov'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed399670-ff20-44a9-883a-b30fed614974",
   "metadata": {
    "tags": []
   },
   "source": [
    "### **KaRIn CalVal**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "115f0a2a-121c-4342-8343-4f4bd3e139a1",
   "metadata": {},
   "source": [
    "#### **Search by cycle and pass using CMR**\n",
    "CMR Search: Number of item returned is limited to 10,000 (or 1 million if targeting collections)\n",
    "https://cmr.earthdata.nasa.gov/search/site/docs/search/api.html#paging-details"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c41a904c-e43b-417b-856d-e63b8b2fe74c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "provider = 'POCLOUD'\n",
    "short_name = 'SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_CALVAL_V1'\n",
    "\n",
    "target_cycle = list(range(1,101))\n",
    "target_pass = [2, 17]\n",
    "page_size = 2000\n",
    "\n",
    "granuleIDs = []\n",
    "params_without_cycle = [\n",
    "    ('page_size', page_size),\n",
    "    ('sort_key', \"-start_date\"),\n",
    "    ('provider', provider),\n",
    "    ('ShortName', short_name),\n",
    "    #('collection_concept_id', ccid), \n",
    "    #('token', token),\n",
    "    #('cycle', targetcycle), # can only specify one cycle at a time when specifying passes \n",
    "    ('passes[0][pass]', target_pass[0]), \n",
    "    ('passes[1][pass]', target_pass[1]),\n",
    "]\n",
    "\n",
    "for v in target_cycle:\n",
    "    params = [(\"cycle[]\", v)]\n",
    "    params.extend(params_without_cycle)\n",
    "    # print(params)\n",
    "    query = urlencode(params)\n",
    "    cmr_url = f\"https://{cmr_root}/search/granules.umm_json?{query}\"\n",
    "    # print(cmr_url)\n",
    "    response = requests.get(cmr_url)\n",
    "    response_body = response.json()\n",
    "    \n",
    "    for itm in response_body['items']:\n",
    "        granuleIDs.append(itm['meta']['concept-id'])\n",
    "\n",
    "len(granuleIDs) # Note the 200-granule limit"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f6f5ca0-b719-4858-8e10-2ce77a58de00",
   "metadata": {},
   "source": [
    "#### **Then spatial subset and download using Harmony**\n",
    "On the back end, the subsetting part of Harmony is powered by L2SS-py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4bc26680-f839-4196-9421-4b1b5f29a4a1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# collection = Collection(id=ccid)\n",
    "collection = Collection(id=short_name)\n",
    "\n",
    "# start_day = datetime(2015,4,15,0,0,0)\n",
    "# end_day = datetime(2015,4,17,0,0,0)\n",
    "\n",
    "request = Request(\n",
    "    collection=collection,\n",
    "    spatial=BBox(-140, 20, -100, 50), # [20-50N], [-140W, -100W] CA Current\n",
    "    #variables=[],\n",
    "    # temporal={\n",
    "    #     'start': start_day,\n",
    "    #     'stop': end_day # goal: try up to 21 days at least,\n",
    "    #},\n",
    "    granule_id=granuleIDs,\n",
    ")\n",
    "\n",
    "request.is_valid()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0e3abdeb-92e9-472d-9595-21682d62655b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "curl -X GET -H 'Accept: */*' -H 'Accept-Encoding: gzip, deflate, br' -H 'Connection: keep-alive' -H 'Cookie: urs_user_already_logged=yes; token=*****; _urs-gui_session=9a6b582d19602fdb6fe3fba80c0bb348' -H 'User-Agent: CPython/3.9.10 python-requests/2.27.1 harmony-py/0.4.1 Linux/5.4.156-83.273.amzn2.x86_64' 'https://harmony.earthdata.nasa.gov/SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_CALVAL_V1/ogc-api-coverages/1.0.0/collections/all/coverage/rangeset?forceAsync=true&subset=lat%2820%3A50%29&subset=lon%28-140%3A-100%29&granuleId=G2163075767-POCLOUD&granuleId=G2163075695-POCLOUD&granuleId=G2163075972-POCLOUD&granuleId=G2163075790-POCLOUD&granuleId=G2163075917-POCLOUD&granuleId=G2163075788-POCLOUD&granuleId=G2163075734-POCLOUD&granuleId=G2163075869-POCLOUD&granuleId=G2163075832-POCLOUD&granuleId=G2163077159-POCLOUD&granuleId=G2163076040-POCLOUD&granuleId=G2163075929-POCLOUD&granuleId=G2163077157-POCLOUD&granuleId=G2163075707-POCLOUD&granuleId=G2163079357-POCLOUD&granuleId=G2163079356-POCLOUD&granuleId=G2163076026-POCLOUD&granuleId=G2163077205-POCLOUD&granuleId=G2163075967-POCLOUD&granuleId=G2163077223-POCLOUD&granuleId=G2163075915-POCLOUD&granuleId=G2163078105-POCLOUD&granuleId=G2163077097-POCLOUD&granuleId=G2163075913-POCLOUD&granuleId=G2163077231-POCLOUD&granuleId=G2163080887-POCLOUD&granuleId=G2163078389-POCLOUD&granuleId=G2163079058-POCLOUD&granuleId=G2163077404-POCLOUD&granuleId=G2163079034-POCLOUD&granuleId=G2163079007-POCLOUD&granuleId=G2163077092-POCLOUD&granuleId=G2163077094-POCLOUD&granuleId=G2163079345-POCLOUD&granuleId=G2163077513-POCLOUD&granuleId=G2163077487-POCLOUD&granuleId=G2163077477-POCLOUD&granuleId=G2163081002-POCLOUD&granuleId=G2163079254-POCLOUD&granuleId=G2163079043-POCLOUD&granuleId=G2163080891-POCLOUD&granuleId=G2163080877-POCLOUD&granuleId=G2163078890-POCLOUD&granuleId=G2163077512-POCLOUD&granuleId=G2163079277-POCLOUD&granuleId=G2163077481-POCLOUD&granuleId=G2163081173-POCLOUD&granuleId=G2163079127-POCLOUD&granuleId=G2163080977-POCLOUD&granuleId=G2163081264-POCLOUD&granuleId=G2163077526-POCLOUD&granuleId=G2163078906-POCLOUD&granuleId=G2163081119-POCLOUD&granuleId=G2163079300-POCLOUD&granuleId=G2163081875-POCLOUD&granuleId=G2163081827-POCLOUD&granuleId=G2163081106-POCLOUD&granuleId=G2163081209-POCLOUD&granuleId=G2163084182-POCLOUD&granuleId=G2163078898-POCLOUD&granuleId=G2163079092-POCLOUD&granuleId=G2163080836-POCLOUD&granuleId=G2163081850-POCLOUD&granuleId=G2163079408-POCLOUD&granuleId=G2163082207-POCLOUD&granuleId=G2163082210-POCLOUD&granuleId=G2163082332-POCLOUD&granuleId=G2163078616-POCLOUD&granuleId=G2163081888-POCLOUD&granuleId=G2163084127-POCLOUD&granuleId=G2163082067-POCLOUD&granuleId=G2163081305-POCLOUD&granuleId=G2163081147-POCLOUD&granuleId=G2163082476-POCLOUD&granuleId=G2163079388-POCLOUD&granuleId=G2163081286-POCLOUD&granuleId=G2163081261-POCLOUD&granuleId=G2163082085-POCLOUD&granuleId=G2163084120-POCLOUD&granuleId=G2163084169-POCLOUD&granuleId=G2163081917-POCLOUD&granuleId=G2163085102-POCLOUD&granuleId=G2163080947-POCLOUD&granuleId=G2163082074-POCLOUD&granuleId=G2163082355-POCLOUD&granuleId=G2163082354-POCLOUD&granuleId=G2163084477-POCLOUD&granuleId=G2163084435-POCLOUD&granuleId=G2163084618-POCLOUD&granuleId=G2163085073-POCLOUD&granuleId=G2163082161-POCLOUD&granuleId=G2163084447-POCLOUD&granuleId=G2163084449-POCLOUD&granuleId=G2163085268-POCLOUD&granuleId=G2163084410-POCLOUD&granuleId=G2163085283-POCLOUD&granuleId=G2163088549-POCLOUD&granuleId=G2163085607-POCLOUD&granuleId=G2163084798-POCLOUD&granuleId=G2163082347-POCLOUD&granuleId=G2163084771-POCLOUD&granuleId=G2163082328-POCLOUD&granuleId=G2163085390-POCLOUD&granuleId=G2163084500-POCLOUD&granuleId=G2163088612-POCLOUD&granuleId=G2163084374-POCLOUD&granuleId=G2163085528-POCLOUD&granuleId=G2163085091-POCLOUD&granuleId=G2163082490-POCLOUD&granuleId=G2163084063-POCLOUD&granuleId=G2163082489-POCLOUD&granuleId=G2163084081-POCLOUD&granuleId=G2163084068-POCLOUD&granuleId=G2163088405-POCLOUD&granuleId=G2163081821-POCLOUD&granuleId=G2163085053-POCLOUD&granuleId=G2163084091-POCLOUD&granuleId=G2163087296-POCLOUD&granuleId=G2163090072-POCLOUD&granuleId=G2163084153-POCLOUD&granuleId=G2163085549-POCLOUD&granuleId=G2163087279-POCLOUD&granuleId=G2163084136-POCLOUD&granuleId=G2163088347-POCLOUD&granuleId=G2163084770-POCLOUD&granuleId=G2163087314-POCLOUD&granuleId=G2163085621-POCLOUD&granuleId=G2163085339-POCLOUD&granuleId=G2163087277-POCLOUD&granuleId=G2163087312-POCLOUD&granuleId=G2163087113-POCLOUD&granuleId=G2163087116-POCLOUD&granuleId=G2163088432-POCLOUD&granuleId=G2163087340-POCLOUD&granuleId=G2163087344-POCLOUD&granuleId=G2163088701-POCLOUD&granuleId=G2163085487-POCLOUD&granuleId=G2163087342-POCLOUD&granuleId=G2163085651-POCLOUD&granuleId=G2163089792-POCLOUD&granuleId=G2163085110-POCLOUD&granuleId=G2163089876-POCLOUD&granuleId=G2163088598-POCLOUD&granuleId=G2163086965-POCLOUD&granuleId=G2163087218-POCLOUD&granuleId=G2163090821-POCLOUD&granuleId=G2163091482-POCLOUD&granuleId=G2163085602-POCLOUD&granuleId=G2163088256-POCLOUD&granuleId=G2163087060-POCLOUD&granuleId=G2163088630-POCLOUD&granuleId=G2163088261-POCLOUD&granuleId=G2163086976-POCLOUD&granuleId=G2163088422-POCLOUD&granuleId=G2163088567-POCLOUD&granuleId=G2163090205-POCLOUD&granuleId=G2163088887-POCLOUD&granuleId=G2163088277-POCLOUD&granuleId=G2163088682-POCLOUD&granuleId=G2163090216-POCLOUD&granuleId=G2163089822-POCLOUD&granuleId=G2163087324-POCLOUD&granuleId=G2163090878-POCLOUD&granuleId=G2163089862-POCLOUD&granuleId=G2163088837-POCLOUD&granuleId=G2163090175-POCLOUD&granuleId=G2163091388-POCLOUD&granuleId=G2163091007-POCLOUD&granuleId=G2163089873-POCLOUD&granuleId=G2163091175-POCLOUD&granuleId=G2163092736-POCLOUD&granuleId=G2163091304-POCLOUD&granuleId=G2163091136-POCLOUD&granuleId=G2163088973-POCLOUD&granuleId=G2163091430-POCLOUD&granuleId=G2163092616-POCLOUD&granuleId=G2163091504-POCLOUD&granuleId=G2163089809-POCLOUD&granuleId=G2163088654-POCLOUD&granuleId=G2163093637-POCLOUD&granuleId=G2163091190-POCLOUD&granuleId=G2163091134-POCLOUD&granuleId=G2163093313-POCLOUD&granuleId=G2163089548-POCLOUD&granuleId=G2163090051-POCLOUD&granuleId=G2163091195-POCLOUD&granuleId=G2163092705-POCLOUD&granuleId=G2163089843-POCLOUD&granuleId=G2163091022-POCLOUD&granuleId=G2163097601-POCLOUD&granuleId=G2163097594-POCLOUD&granuleId=G2163088890-POCLOUD&granuleId=G2163090977-POCLOUD&granuleId=G2163092618-POCLOUD&granuleId=G2163091470-POCLOUD&granuleId=G2163091451-POCLOUD&granuleId=G2163093511-POCLOUD&granuleId=G2163090687-POCLOUD&granuleId=G2163091198-POCLOUD&granuleId=G2163095690-POCLOUD'\n",
      "Job ID: e7b582e7-6ec3-4d90-a599-24b6c4916093\n"
     ]
    }
   ],
   "source": [
    "print(harmony_client.request_as_curl(request))\n",
    "job_id = harmony_client.submit(request)\n",
    "print(f'Job ID: {job_id}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1d71eeb4-8145-49fa-9d91-20320df74ee2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'status': 'successful',\n",
       " 'message': 'The job has completed successfully',\n",
       " 'progress': 100,\n",
       " 'created_at': datetime.datetime(2022, 3, 15, 2, 0, 2, 798000, tzinfo=tzlocal()),\n",
       " 'updated_at': datetime.datetime(2022, 3, 15, 2, 9, 48, 593000, tzinfo=tzlocal()),\n",
       " 'created_at_local': '2022-03-15T02:00:02+00:00',\n",
       " 'updated_at_local': '2022-03-15T02:09:48+00:00',\n",
       " 'request': 'https://harmony.earthdata.nasa.gov/SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_CALVAL_V1/ogc-api-coverages/1.0.0/collections/all/coverage/rangeset?forceAsync=true&subset=lat(20%3A50)&subset=lon(-140%3A-100)&granuleId=G2163075767-POCLOUD&granuleId=G2163075695-POCLOUD&granuleId=G2163075972-POCLOUD&granuleId=G2163075790-POCLOUD&granuleId=G2163075917-POCLOUD&granuleId=G2163075788-POCLOUD&granuleId=G2163075734-POCLOUD&granuleId=G2163075869-POCLOUD&granuleId=G2163075832-POCLOUD&granuleId=G2163077159-POCLOUD&granuleId=G2163076040-POCLOUD&granuleId=G2163075929-POCLOUD&granuleId=G2163077157-POCLOUD&granuleId=G2163075707-POCLOUD&granuleId=G2163079357-POCLOUD&granuleId=G2163079356-POCLOUD&granuleId=G2163076026-POCLOUD&granuleId=G2163077205-POCLOUD&granuleId=G2163075967-POCLOUD&granuleId=G2163077223-POCLOUD&granuleId=G2163075915-POCLOUD&granuleId=G2163078105-POCLOUD&granuleId=G2163077097-POCLOUD&granuleId=G2163075913-POCLOUD&granuleId=G2163077231-POCLOUD&granuleId=G2163080887-POCLOUD&granuleId=G2163078389-POCLOUD&granuleId=G2163079058-POCLOUD&granuleId=G2163077404-POCLOUD&granuleId=G2163079034-POCLOUD&granuleId=G2163079007-POCLOUD&granuleId=G2163077092-POCLOUD&granuleId=G2163077094-POCLOUD&granuleId=G2163079345-POCLOUD&granuleId=G2163077513-POCLOUD&granuleId=G2163077487-POCLOUD&granuleId=G2163077477-POCLOUD&granuleId=G2163081002-POCLOUD&granuleId=G2163079254-POCLOUD&granuleId=G2163079043-POCLOUD&granuleId=G2163080891-POCLOUD&granuleId=G2163080877-POCLOUD&granuleId=G2163078890-POCLOUD&granuleId=G2163077512-POCLOUD&granuleId=G2163079277-POCLOUD&granuleId=G2163077481-POCLOUD&granuleId=G2163081173-POCLOUD&granuleId=G2163079127-POCLOUD&granuleId=G2163080977-POCLOUD&granuleId=G2163081264-POCLOUD&granuleId=G2163077526-POCLOUD&granuleId=G2163078906-POCLOUD&granuleId=G2163081119-POCLOUD&granuleId=G2163079300-POCLOUD&granuleId=G2163081875-POCLOUD&granuleId=G2163081827-POCLOUD&granuleId=G2163081106-POCLOUD&granuleId=G2163081209-POCLOUD&granuleId=G2163084182-POCLOUD&granuleId=G2163078898-POCLOUD&granuleId=G2163079092-POCLOUD&granuleId=G2163080836-POCLOUD&granuleId=G2163081850-POCLOUD&granuleId=G2163079408-POCLOUD&granuleId=G2163082207-POCLOUD&granuleId=G2163082210-POCLOUD&granuleId=G2163082332-POCLOUD&granuleId=G2163078616-POCLOUD&granuleId=G2163081888-POCLOUD&granuleId=G2163084127-POCLOUD&granuleId=G2163082067-POCLOUD&granuleId=G2163081305-POCLOUD&granuleId=G2163081147-POCLOUD&granuleId=G2163082476-POCLOUD&granuleId=G2163079388-POCLOUD&granuleId=G2163081286-POCLOUD&granuleId=G2163081261-POCLOUD&granuleId=G2163082085-POCLOUD&granuleId=G2163084120-POCLOUD&granuleId=G2163084169-POCLOUD&granuleId=G2163081917-POCLOUD&granuleId=G2163085102-POCLOUD&granuleId=G2163080947-POCLOUD&granuleId=G2163082074-POCLOUD&granuleId=G2163082355-POCLOUD&granuleId=G2163082354-POCLOUD&granuleId=G2163084477-POCLOUD&granuleId=G2163084435-POCLOUD&granuleId=G2163084618-POCLOUD&granuleId=G2163085073-POCLOUD&granuleId=G2163082161-POCLOUD&granuleId=G2163084447-POCLOUD&granuleId=G2163084449-POCLOUD&granuleId=G2163085268-POCLOUD&granuleId=G2163084410-POCLOUD&granuleId=G2163085283-POCLOUD&granuleId=G2163088549-POCLOUD&granuleId=G2163085607-POCLOUD&granuleId=G2163084798-POCLOUD&granuleId=G2163082347-POCLOUD&granuleId=G2163084771-POCLOUD&granuleId=G2163082328-POCLOUD&granuleId=G2163085390-POCLOUD&granuleId=G2163084500-POCLOUD&granuleId=G2163088612-POCLOUD&granuleId=G2163084374-POCLOUD&granuleId=G2163085528-POCLOUD&granuleId=G2163085091-POCLOUD&granuleId=G2163082490-POCLOUD&granuleId=G2163084063-POCLOUD&granuleId=G2163082489-POCLOUD&granuleId=G2163084081-POCLOUD&granuleId=G2163084068-POCLOUD&granuleId=G2163088405-POCLOUD&granuleId=G2163081821-POCLOUD&granuleId=G2163085053-POCLOUD&granuleId=G2163084091-POCLOUD&granuleId=G2163087296-POCLOUD&granuleId=G2163090072-POCLOUD&granuleId=G2163084153-POCLOUD&granuleId=G2163085549-POCLOUD&granuleId=G2163087279-POCLOUD&granuleId=G2163084136-POCLOUD&granuleId=G2163088347-POCLOUD&granuleId=G2163084770-POCLOUD&granuleId=G2163087314-POCLOUD&granuleId=G2163085621-POCLOUD&granuleId=G2163085339-POCLOUD&granuleId=G2163087277-POCLOUD&granuleId=G2163087312-POC...',\n",
       " 'num_input_granules': 200}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "harmony_client.status(job_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "87d0515a-b181-4cf2-996e-fdb80948a32c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# results = harmony_client.result_urls(job_id, link_type=LinkType.s3)\n",
    "# urls = list(results)\n",
    "# print(urls)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "54f42f15-8440-4e3e-b9c0-04730bbfa325",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['./swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_001_002_20140412T125105_20140412T134211_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_001_017_20140413T013731_20140413T022836_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_002_002_20140413T124143_20140413T133248_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_002_017_20140414T012808_20140414T021913_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_003_002_20140414T123220_20140414T132325_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_003_017_20140415T011845_20140415T020951_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_004_002_20140415T122257_20140415T131403_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_004_017_20140416T010922_20140416T020028_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_005_002_20140416T121334_20140416T130440_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_005_017_20140417T005959_20140417T015105_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_006_002_20140417T120411_20140417T125517_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_006_017_20140418T005036_20140418T014142_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_007_002_20140418T115448_20140418T124554_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_007_017_20140419T004114_20140419T013219_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_008_002_20140419T114525_20140419T123631_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_008_017_20140420T003151_20140420T012256_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_009_002_20140420T113602_20140420T122708_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_009_017_20140421T002228_20140421T011333_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_010_002_20140421T112640_20140421T121745_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_010_017_20140422T001305_20140422T010411_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_011_002_20140422T111717_20140422T120822_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_011_017_20140423T000342_20140423T005448_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_012_002_20140423T110754_20140423T115900_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_012_017_20140423T235419_20140424T004525_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_013_002_20140424T105831_20140424T114937_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_013_017_20140424T234456_20140425T003602_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_014_002_20140425T104908_20140425T114014_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_014_017_20140425T233533_20140426T002639_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_015_002_20140426T103945_20140426T113051_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_015_017_20140426T232611_20140427T001716_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_016_002_20140427T103022_20140427T112128_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_016_017_20140427T231648_20140428T000753_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_017_002_20140428T102100_20140428T111205_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_017_017_20140428T230725_20140428T235830_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_018_002_20140429T101137_20140429T110242_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_018_017_20140429T225802_20140429T234908_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_019_002_20140430T100214_20140430T105320_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_019_017_20140430T224839_20140430T233945_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_020_002_20140501T095251_20140501T104357_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_020_017_20140501T223916_20140501T233022_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_021_002_20140502T094328_20140502T103434_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_021_017_20140502T222953_20140502T232059_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_022_002_20140503T093405_20140503T102511_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_022_017_20140503T222031_20140503T231136_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_023_002_20140504T092442_20140504T101548_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_023_017_20140504T221108_20140504T230213_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_024_002_20140505T091519_20140505T100625_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_024_017_20140505T220145_20140505T225250_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_025_002_20140506T090557_20140506T095702_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_025_017_20140506T215222_20140506T224328_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_026_002_20140507T085634_20140507T094739_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_026_017_20140507T214259_20140507T223405_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_027_002_20140508T084711_20140508T093817_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_027_017_20140508T213336_20140508T222442_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_028_002_20140509T083748_20140509T092854_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_028_017_20140509T212413_20140509T221519_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_029_002_20140510T082825_20140510T091931_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_029_017_20140510T211450_20140510T220556_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_030_002_20140511T081902_20140511T091008_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_030_017_20140511T210528_20140511T215633_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_031_002_20140512T080939_20140512T090045_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_031_017_20140512T205605_20140512T214710_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_032_002_20140513T080017_20140513T085122_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_032_017_20140513T204642_20140513T213747_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_033_002_20140514T075054_20140514T084159_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_033_017_20140514T203719_20140514T212825_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_034_002_20140515T074131_20140515T083237_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_034_017_20140515T202756_20140515T211902_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_035_002_20140516T073208_20140516T082314_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_035_017_20140516T201833_20140516T210939_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_036_002_20140517T072245_20140517T081351_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_036_017_20140517T200910_20140517T210016_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_037_002_20140518T071322_20140518T080428_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_037_017_20140518T195948_20140518T205053_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_038_002_20140519T070359_20140519T075505_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_038_017_20140519T195025_20140519T204130_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_039_002_20140520T065436_20140520T074542_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_039_017_20140520T194102_20140520T203207_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_040_002_20140521T064514_20140521T073619_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_040_017_20140521T193139_20140521T202245_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_041_002_20140522T063551_20140522T072656_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_041_017_20140522T192216_20140522T201322_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_042_002_20140523T062628_20140523T071734_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_042_017_20140523T191253_20140523T200359_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_043_002_20140524T061705_20140524T070811_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_043_017_20140524T190330_20140524T195436_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_044_002_20140525T060742_20140525T065848_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_044_017_20140525T185407_20140525T194513_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_045_002_20140526T055819_20140526T064925_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_045_017_20140526T184445_20140526T193550_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_046_002_20140527T054856_20140527T064002_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_046_017_20140527T183522_20140527T192627_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_047_002_20140528T053934_20140528T063039_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_047_017_20140528T182559_20140528T191704_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_048_002_20140529T053011_20140529T062116_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_048_017_20140529T181636_20140529T190742_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_049_002_20140530T052048_20140530T061154_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_049_017_20140530T180713_20140530T185819_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_050_002_20140531T051125_20140531T060231_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_050_017_20140531T175750_20140531T184856_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_051_002_20140601T050202_20140601T055308_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_051_017_20140601T174827_20140601T183933_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_052_002_20140602T045239_20140602T054345_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_052_017_20140602T173905_20140602T183010_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_053_002_20140603T044316_20140603T053422_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_053_017_20140603T172942_20140603T182047_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_054_002_20140604T043353_20140604T052459_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_054_017_20140604T172019_20140604T181124_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_055_002_20140605T042431_20140605T051536_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_055_017_20140605T171056_20140605T180201_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_056_002_20140606T041508_20140606T050613_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_056_017_20140606T170133_20140606T175239_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_057_002_20140607T040545_20140607T045651_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_057_017_20140607T165210_20140607T174316_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_058_002_20140608T035622_20140608T044728_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_058_017_20140608T164247_20140608T173353_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_059_002_20140609T034659_20140609T043805_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_059_017_20140609T163324_20140609T172430_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_060_002_20140610T033736_20140610T042842_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_060_017_20140610T162402_20140610T171507_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_061_002_20140611T032813_20140611T041919_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_061_017_20140611T161439_20140611T170544_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_062_002_20140612T031850_20140612T040956_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_062_017_20140612T160516_20140612T165621_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_063_002_20140613T030928_20140613T040033_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_063_017_20140613T155553_20140613T164659_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_064_002_20140614T030005_20140614T035111_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_064_017_20140614T154630_20140614T163736_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_065_002_20140615T025042_20140615T034148_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_065_017_20140615T153707_20140615T162813_DG10_01_subsetted.nc4',\n",
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       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_080_002_20140630T002959_20140630T012105_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_080_017_20140630T131624_20140630T140730_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_081_002_20140701T002036_20140701T011142_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_081_017_20140701T130701_20140701T135807_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_082_002_20140702T001113_20140702T010219_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_082_017_20140702T125738_20140702T134844_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_083_002_20140703T000150_20140703T005256_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_083_017_20140703T124816_20140703T133921_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_084_002_20140703T235227_20140704T004333_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_084_017_20140704T123853_20140704T132958_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_085_002_20140704T234305_20140705T003410_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_085_017_20140705T122930_20140705T132035_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_086_002_20140705T233342_20140706T002447_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_086_017_20140706T122007_20140706T131113_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_087_002_20140706T232419_20140707T001525_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_087_017_20140707T121044_20140707T130150_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_088_002_20140707T231456_20140708T000602_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_088_017_20140708T120121_20140708T125227_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_089_002_20140708T230533_20140708T235639_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_089_017_20140709T115158_20140709T124304_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_090_002_20140709T225610_20140709T234716_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_090_017_20140710T114236_20140710T123341_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_091_002_20140710T224647_20140710T233753_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_091_017_20140711T113313_20140711T122418_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_092_002_20140711T223724_20140711T232830_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_092_017_20140712T112350_20140712T121455_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_093_002_20140712T222802_20140712T231907_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_093_017_20140713T111427_20140713T120533_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_094_002_20140713T221839_20140713T230944_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_094_017_20140714T110504_20140714T115610_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_095_002_20140714T220916_20140714T230022_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_095_017_20140715T105541_20140715T114647_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_096_002_20140715T215953_20140715T225059_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_096_017_20140716T104618_20140716T113724_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_097_002_20140716T215030_20140716T224136_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_097_017_20140717T103655_20140717T112801_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_098_002_20140717T214107_20140717T223213_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_098_017_20140718T102733_20140718T111838_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_099_002_20140718T213144_20140718T222250_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_099_017_20140719T101810_20140719T110915_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_100_002_20140719T212222_20140719T221327_DG10_01_subsetted.nc4',\n",
       " './swot_ocean_timeseries/SWOT_L2_LR_SSH_Expert_100_017_20140720T100847_20140720T105952_DG10_01_subsetted.nc4']"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "futures = harmony_client.download_all(job_id, directory='./swot_ocean', overwrite=True)\n",
    "file_names = [f.result() for f in futures]\n",
    "sorted(file_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "687d7b6d-a654-4f93-b932-805cb7f91b86",
   "metadata": {},
   "outputs": [
    {
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       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                                (num_lines: 345000, num_pixels: 71,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude                               (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    longitude                              (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    latitude_nadir                         (num_lines) float64 dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;\n",
       "    longitude_nadir                        (num_lines) float64 dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/91)\n",
       "    time                                   (num_lines) datetime64[ns] dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;\n",
       "    time_tai                               (num_lines) datetime64[ns] dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float32 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    ssh_karin_2                            (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    ...                                     ...\n",
       "    simulated_error_karin                  (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    simulated_error_timing                 (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    simulated_error_roll                   (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    simulated_error_phase                  (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    simulated_error_baseline_dilation      (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "    simulated_error_orbital                (num_lines, num_pixels) float64 dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;\n",
       "Attributes: (12/33)\n",
       "    Conventions:                CF-1.7\n",
       "    title:                      Level 2 Low Rate Sea Surface Height Data Prod...\n",
       "    institution:                CNES/JPL\n",
       "    source:                     Simulate product\n",
       "    history:                    2021-09-10 10:21:42Z : Creation\\n2022-03-15 0...\n",
       "    platform:                   SWOT\n",
       "    ...                         ...\n",
       "    right_last_latitude:        -78.29215289609066\n",
       "    wavelength:                 0.008385803020979\n",
       "    orbit_solution:             POE\n",
       "    ellipsoid_semi_major_axis:  6378137.0\n",
       "    ellipsoid_flattening:       0.003352810664781205\n",
       "    history_json:               [{&quot;date_time&quot;: &quot;2022-03-15T02:00:14.090225+00...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-313acdc1-6151-435a-b5e8-71405b9f6675' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-313acdc1-6151-435a-b5e8-71405b9f6675' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>num_lines</span>: 345000</li><li><span>num_pixels</span>: 71</li><li><span>num_sides</span>: 2</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1a7a92b6-648f-4ffd-a853-ca4cd4dd5e18' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1a7a92b6-648f-4ffd-a853-ca4cd4dd5e18' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-6a550453-78b8-48d2-8804-cdb953ee0ee1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6a550453-78b8-48d2-8804-cdb953ee0ee1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77718f12-f447-4a93-9ca4-48005fcddca0' class='xr-var-data-in' type='checkbox'><label for='data-77718f12-f447-4a93-9ca4-48005fcddca0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude (positive N, negative S)</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"6\" x2=\"25\" y2=\"6\" />\n",
       "  <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
       "  <line x1=\"0\" y1=\"18\" x2=\"25\" y2=\"18\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" />\n",
       "  <line x1=\"0\" y1=\"31\" x2=\"25\" y2=\"31\" />\n",
       "  <line x1=\"0\" y1=\"37\" x2=\"25\" y2=\"37\" />\n",
       "  <line x1=\"0\" y1=\"43\" x2=\"25\" y2=\"43\" />\n",
       "  <line x1=\"0\" y1=\"50\" x2=\"25\" y2=\"50\" />\n",
       "  <line x1=\"0\" y1=\"56\" x2=\"25\" y2=\"56\" />\n",
       "  <line x1=\"0\" y1=\"63\" x2=\"25\" y2=\"63\" />\n",
       "  <line x1=\"0\" y1=\"69\" x2=\"25\" y2=\"69\" />\n",
       "  <line x1=\"0\" y1=\"75\" x2=\"25\" y2=\"75\" />\n",
       "  <line x1=\"0\" y1=\"81\" x2=\"25\" y2=\"81\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-06fb450d-9170-48de-b208-5e78b728812c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06fb450d-9170-48de-b208-5e78b728812c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53fa48f4-9820-42d4-807a-14b22b595f92' class='xr-var-data-in' type='checkbox'><label for='data-53fa48f4-9820-42d4-807a-14b22b595f92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude (degrees East)</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
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       "  <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
       "  <line x1=\"0\" y1=\"18\" x2=\"25\" y2=\"18\" />\n",
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       "  <line x1=\"0\" y1=\"37\" x2=\"25\" y2=\"37\" />\n",
       "  <line x1=\"0\" y1=\"43\" x2=\"25\" y2=\"43\" />\n",
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       "  <line x1=\"0\" y1=\"69\" x2=\"25\" y2=\"69\" />\n",
       "  <line x1=\"0\" y1=\"75\" x2=\"25\" y2=\"75\" />\n",
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       "  <line x1=\"0\" y1=\"88\" x2=\"25\" y2=\"88\" />\n",
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       "  <line x1=\"0\" y1=\"120\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"120\" style=\"stroke-width:2\" />\n",
       "\n",
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       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,120.0 0.0,120.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"45.412617\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,45.412617,60.000000)\">345000</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-6b9175e5-e912-4ffa-92c0-dc8f332f1122' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6b9175e5-e912-4ffa-92c0-dc8f332f1122' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c174df2e-23ea-4c39-8410-448d6044d3e4' class='xr-var-data-in' type='checkbox'><label for='data-c174df2e-23ea-4c39-8410-448d6044d3e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Geodetic latitude [-80,80] (degrees north of equator) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_nadir</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-8ce20ba8-2f8a-4195-81de-1c8ea641838f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ce20ba8-2f8a-4195-81de-1c8ea641838f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-412a9366-b360-42c7-8707-34775077581a' class='xr-var-data-in' type='checkbox'><label for='data-412a9366-b360-42c7-8707-34775077581a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude of satellite nadir point</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude (degrees east of Grenwich meridian) of the satellite nadir point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
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       "        </td>\n",
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       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-a8c488c7-2658-4ef3-827e-ddb7fde262df' class='xr-section-summary-in' type='checkbox'  ><label for='section-a8c488c7-2658-4ef3-827e-ddb7fde262df' class='xr-section-summary' >Data variables: <span>(91)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-91dc1321-fbf0-4720-809b-ef1d971d86fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-91dc1321-fbf0-4720-809b-ef1d971d86fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6c04ee7-01b9-4398-ba30-b56739b62ab1' class='xr-var-data-in' type='checkbox'><label for='data-d6c04ee7-01b9-4398-ba30-b56739b62ab1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in UTC</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>leap_second :</span></dt><dd>YYYY-MM-DDThh:mm:ssZ</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the UTC time scale since 1 Jan 2000 00:00:00 UTC. [tai_utc_difference] is the difference between TAI and UTC reference time (seconds) for the first measurement of the data set. If a leap second occurs within the data set, the attribute leap_second is set to the UTC time at which the leap second occurs.</dd><dt><span>tai_utc_difference :</span></dt><dd>35.0</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> datetime64[ns] </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time_tai</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-e6222981-f3e5-4466-9fec-bb66ec47b55b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6222981-f3e5-4466-9fec-bb66ec47b55b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f58e23f9-ce4a-451c-9bf5-68de85dce233' class='xr-var-data-in' type='checkbox'><label for='data-f58e23f9-ce4a-451c-9bf5-68de85dce233' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time in TAI</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>tai_utc_difference :</span></dt><dd>[Value of TAI-UTC at time of first record]</dd><dt><span>comment :</span></dt><dd>Time of measurement in seconds in the TAI time scale since 1 Jan 2000 00:00:00 TAI. This time scale contains no leap seconds. The difference (in seconds) with time in UTC is given by the attribute [time:tai_utc_difference].</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> datetime64[ns] </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-8e362bcd-a5fb-4d39-848a-a3cb2505cb02' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e362bcd-a5fb-4d39-848a-a3cb2505cb02' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ac916d24-c947-4d67-9903-aa63f76fe78e' class='xr-var-data-in' type='checkbox'><label for='data-ac916d24-c947-4d67-9903-aa63f76fe78e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Fully corrected sea surface height measured by KaRIn. The height is relative to the reference ellipsoid defined in the global attributes. This value is computed using radiometer measurements for wet troposphere effects on the KaRIn measurement (e.g., rad_wet_tropo_cor and sea_state_bias_cor).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-60574cc3-c620-4089-aeee-0f5124923367' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60574cc3-c620-4089-aeee-0f5124923367' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8bf2b85-d42f-46c0-845d-858d4b67a228' class='xr-var-data-in' type='checkbox'><label for='data-c8bf2b85-d42f-46c0-845d-858d4b67a228' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height anomaly</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1000000</dd><dt><span>valid_max :</span></dt><dd>1000000</dd><dt><span>comment :</span></dt><dd>Sea surface height anomaly from the KaRIn measurement = ssh_karin - mean_sea_surface_cnescls - solid_earth_tide - ocean_tide_fes – internal_tide_hret - pole_tide - dac.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ssha_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-7a65b312-56d1-4f9f-8c4f-10300f1285d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7a65b312-56d1-4f9f-8c4f-10300f1285d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ba59c57-da66-4415-a4b7-4ee9c3e80bfb' class='xr-var-data-in' type='checkbox'><label for='data-0ba59c57-da66-4415-a4b7-4ee9c3e80bfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height quality flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good bad</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>Quality flag for the SSHA from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>polarization_karin</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-2a14a908-97f3-4a24-85bb-3b5b5dacb101' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a14a908-97f3-4a24-85bb-3b5b5dacb101' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4980dc4-4801-449c-ae27-534cab477e49' class='xr-var-data-in' type='checkbox'><label for='data-b4980dc4-4801-449c-ae27-534cab477e49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>polarization for each side of the KaRIn swath</dd><dt><span>comment :</span></dt><dd>H denotes co-polarized linear horizontal, V denotes co-polarized linear vertical.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 5.26 MiB </td>\n",
       "                        <td> 26.95 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 2) </td>\n",
       "                        <td> (1725, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> object </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-36b9dd06-8d6e-4725-9243-d1410262630a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36b9dd06-8d6e-4725-9243-d1410262630a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93b087f6-b56d-42fe-b039-91fbebf3e682' class='xr-var-data-in' type='checkbox'><label for='data-93b087f6-b56d-42fe-b039-91fbebf3e682' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from KaRIn</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Significant wave height from KaRIn volumetric correlation.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-6ce5e3d0-69fb-4c3c-8804-4ba5e9334ebd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ce5e3d0-69fb-4c3c-8804-4ba5e9334ebd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ef38ee7-8668-4016-a65f-64213b1c0310' class='xr-var-data-in' type='checkbox'><label for='data-5ef38ee7-8668-4016-a65f-64213b1c0310' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on significant wave height from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-e56f73a4-a011-42e6-acfe-f0d78b408ee1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e56f73a4-a011-42e6-acfe-f0d78b408ee1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-897ace56-71f7-41ea-801c-04cb272155be' class='xr-var-data-in' type='checkbox'><label for='data-897ace56-71f7-41ea-801c-04cb272155be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. Radiometer measurements provide the atmospheric attenuation (sig0_cor_atmos_rad).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-aafaf0cf-9307-4d38-9981-5d9d2b1efecb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aafaf0cf-9307-4d38-9981-5d9d2b1efecb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0074ef1e-9acc-423d-9599-d4fce0eb5132' class='xr-var-data-in' type='checkbox'><label for='data-0074ef1e-9acc-423d-9599-d4fce0eb5132' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1000.0</dd><dt><span>comment :</span></dt><dd>1-sigma uncertainty on sigma0 from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-38d8122f-6ef6-48b2-a4a0-e20e94f43f4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38d8122f-6ef6-48b2-a4a0-e20e94f43f4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74affe45-015a-4ae3-b992-8db0393e5556' class='xr-var-data-in' type='checkbox'><label for='data-74affe45-015a-4ae3-b992-8db0393e5556' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>normalized radar cross section (sigma0) from KaRIn</dd><dt><span>standard_name :</span></dt><dd>surface_backwards_scattering_coefficient_of_radar_wave</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>-1000.0</dd><dt><span>valid_max :</span></dt><dd>10000000.0</dd><dt><span>comment :</span></dt><dd>Normalized radar cross section (sigma0) from KaRIn in real, linear units (not decibels).  The value may be negative due to noise subtraction.  The value is corrected for instrument calibration and atmospheric attenuation. A meteorological model provides the atmospheric attenuation (sig0_cor_atmos_model).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-72b43477-8325-44c7-afcf-25ed8dedaf46' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-72b43477-8325-44c7-afcf-25ed8dedaf46' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b0fe9eb-db05-4ba3-80bc-a0e2ba61720d' class='xr-var-data-in' type='checkbox'><label for='data-7b0fe9eb-db05-4ba3-80bc-a0e2ba61720d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn </dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>source :</span></dt><dd>TBD</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_karin_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-b2e32020-ef0d-4045-8cdc-058882fa8dba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2e32020-ef0d-4045-8cdc-058882fa8dba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48a83b00-7fda-4096-bebf-c926d7ff45e4' class='xr-var-data-in' type='checkbox'><label for='data-48a83b00-7fda-4096-bebf-c926d7ff45e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from KaRIn </dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>source :</span></dt><dd>TBD</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from KaRIn computed from sig0_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-3c29ff6e-1660-459b-9929-4e7493100968' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c29ff6e-1660-459b-9929-4e7493100968' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79300d52-f836-4fda-b5da-5d505fde474e' class='xr-var-data-in' type='checkbox'><label for='data-79300d52-f836-4fda-b5da-5d505fde474e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for significant wave height from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good bad</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>Quality flag for significant wave height from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"120\" style=\"stroke-width:2\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_karin_qual</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-6cb6bc50-f25b-4d92-a41b-26535e35e453' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cb6bc50-f25b-4d92-a41b-26535e35e453' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8444b29-75f1-4b40-9ee8-b9bb7fc9dfc2' class='xr-var-data-in' type='checkbox'><label for='data-b8444b29-75f1-4b40-9ee8-b9bb7fc9dfc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for sigma0 from KaRIn.</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good bad</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>Quality flag for sigma0 from KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "  <line x1=\"0\" y1=\"12\" x2=\"25\" y2=\"12\" />\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>num_pt_avg</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-0f2a9fd5-2bbc-4671-9852-bd08b6a19b35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f2a9fd5-2bbc-4671-9852-bd08b6a19b35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-15b31747-078d-4acd-b6c9-15578d717d0a' class='xr-var-data-in' type='checkbox'><label for='data-15b31747-078d-4acd-b6c9-15578d717d0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of samples averaged</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>289</dd><dt><span>comment :</span></dt><dd>Number of native unsmoothed, beam-combined KaRIn samples averaged.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-2920e22f-3039-405c-aa87-c2463f17d577' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2920e22f-3039-405c-aa87-c2463f17d577' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-670805ab-1f60-4933-be26-3152135678a9' class='xr-var-data-in' type='checkbox'><label for='data-670805ab-1f60-4933-be26-3152135678a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>significant wave height from wave model</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_height</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Significant wave height from model.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_direction</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-0e538b2e-bddc-41a0-9b17-3b84d9784251' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0e538b2e-bddc-41a0-9b17-3b84d9784251' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eec0dc2a-394e-416a-aec2-329e7e0faf0d' class='xr-var-data-in' type='checkbox'><label for='data-eec0dc2a-394e-416a-aec2-329e7e0faf0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface wave direction</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>degree</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>36000</dd><dt><span>comment :</span></dt><dd>Mean sea surface wave direction.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                <thead>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_wave_period_t02</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-8c240828-75b1-4db2-8970-f0a075e69e7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c240828-75b1-4db2-8970-f0a075e69e7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ee7a10d-60b0-442e-b81e-59638c945655' class='xr-var-data-in' type='checkbox'><label for='data-6ee7a10d-60b0-442e-b81e-59638c945655' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface wind wave mean period</dd><dt><span>standard_name :</span></dt><dd>sea_surface_wave_significant_period</dd><dt><span>source :</span></dt><dd>Meteo France Wave Model (MF-WAM)</dd><dt><span>institution :</span></dt><dd>Meteo France</dd><dt><span>units :</span></dt><dd>s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>100</dd><dt><span>comment :</span></dt><dd>Sea surface wind wave mean period from model spectral density second moment.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_model_u</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-2c7eb7ae-85ba-47ea-89af-9652214fb353' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c7eb7ae-85ba-47ea-89af-9652214fb353' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-581b9e3a-4110-48f7-9801-c7c5ec9d5fc0' class='xr-var-data-in' type='checkbox'><label for='data-581b9e3a-4110-48f7-9801-c7c5ec9d5fc0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>u component of model wind</dd><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Eastward component of the atmospheric model wind vector at 10 meters.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
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       "                        <td> </td>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> 93.44 MiB </td>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
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       "                    <tr>\n",
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       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>wind_speed_rad</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-5664e98c-0453-415c-80e4-bdb5bfd5fdcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5664e98c-0453-415c-80e4-bdb5bfd5fdcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54391d86-0dcd-42a3-9bb5-f8301a07d262' class='xr-var-data-in' type='checkbox'><label for='data-54391d86-0dcd-42a3-9bb5-f8301a07d262' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wind speed from radiometer</dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>65000</dd><dt><span>comment :</span></dt><dd>Wind speed from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                        <td> (1725, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>distance_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-61e3d413-0926-48fb-b772-95fec24723e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61e3d413-0926-48fb-b772-95fec24723e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62449c76-a697-4039-aeba-3c929eaedf35' class='xr-var-data-in' type='checkbox'><label for='data-62449c76-a697-4039-aeba-3c929eaedf35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>distance to coast</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>21000</dd><dt><span>comment :</span></dt><dd>Approximate distance to the nearest coast point along the Earth surface.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>heading_to_coast</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-348bad7d-6f73-4804-9441-cf8b59e6c886' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-348bad7d-6f73-4804-9441-cf8b59e6c886' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90f035a4-83be-4737-8558-719643482729' class='xr-var-data-in' type='checkbox'><label for='data-90f035a4-83be-4737-8558-719643482729' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading to coast</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>35999</dd><dt><span>comment :</span></dt><dd>Approximate compass heading (0-360 degrees with respect to true north) to the nearest coast point.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
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       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ancillary_surface_classification_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-80ed7d0d-f8b2-44c4-846b-c6dcd2bae193' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80ed7d0d-f8b2-44c4-846b-c6dcd2bae193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-869a6713-096a-406d-b865-c24f47459f31' class='xr-var-data-in' type='checkbox'><label for='data-869a6713-096a-406d-b865-c24f47459f31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface classification</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>MODIS/GlobCover</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean land continental_water aquatic_vegetation continental_ice_snow floating_ice salted_basin</dd><dt><span>flag_values :</span></dt><dd>[0 1 2 3 4 5 6]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>6</dd><dt><span>comment :</span></dt><dd>7-state surface type classification computed from a mask built with MODIS and GlobCover data.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dynamic_ice_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-9b291f69-2178-4ca6-8791-a94e13b033f8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9b291f69-2178-4ca6-8791-a94e13b033f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-826d3a88-4329-48ed-a42d-c1d972693209' class='xr-var-data-in' type='checkbox'><label for='data-826d3a88-4329-48ed-a42d-c1d972693209' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic ice flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>flag_meanings :</span></dt><dd>no_ice probable_ice ice</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Dynamic ice flag for the location of the KaRIn measurement.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-9ff35fff-82ef-4603-a03c-ecb3a0b6673e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ff35fff-82ef-4603-a03c-ecb3a0b6673e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9c29e72-cda6-4a7a-85de-3bb8847d9edc' class='xr-var-data-in' type='checkbox'><label for='data-d9c29e72-cda6-4a7a-85de-3bb8847d9edc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>no_rain probable_rain rain</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicates that signal is attenuated, probably from rain.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_surface_type_flag</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-b8ef7d29-36f7-42e3-8be0-fbcd803b1794' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8ef7d29-36f7-42e3-8be0-fbcd803b1794' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61940333-1d4e-4170-a613-ba050937c5f3' class='xr-var-data-in' type='checkbox'><label for='data-61940333-1d4e-4170-a613-ba050937c5f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer surface type flag</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>flag_meanings :</span></dt><dd>open_ocean coastal_ocean land</dd><dt><span>flag_values :</span></dt><dd>[0 1 2]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2</dd><dt><span>comment :</span></dt><dd>Flag indicating the validity and type of processing applied to generate the wet troposphere correction (rad_wet_tropo_cor). A value of 0 indicates that open ocean processing is used, a value of 1 indicates coastal processing, and a value of 2 indicates that rad_wet_tropo_cor is invalid due to land contamination.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_altitude</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-8e652382-5803-4f27-abdf-83845d107dc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e652382-5803-4f27-abdf-83845d107dc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08d5c47b-9a5d-4a40-b3b5-119c843d5772' class='xr-var-data-in' type='checkbox'><label for='data-08d5c47b-9a5d-4a40-b3b5-119c843d5772' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>altitude of KMSF origin</dd><dt><span>standard_name :</span></dt><dd>height_above_reference_ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000000000</dd><dt><span>comment :</span></dt><dd>Altitude of the KMSF origin.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_angle</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-3b951ece-9334-4d19-9761-dfdcc623d370' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b951ece-9334-4d19-9761-dfdcc623d370' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-301bb50d-9151-4107-a8c3-04a97174cfb0' class='xr-var-data-in' type='checkbox'><label for='data-301bb50d-9151-4107-a8c3-04a97174cfb0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross-track angle from true north</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the cross-track direction to the right of the spacecraft velocity vector.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                        <td> (1725,) </td>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
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       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_pitch</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-b7bd8343-3dbc-43b5-bc3d-6b75b097cb3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b7bd8343-3dbc-43b5-bc3d-6b75b097cb3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40291a04-8c11-4b91-ab9a-3b04f939a704' class='xr-var-data-in' type='checkbox'><label for='data-40291a04-8c11-4b91-ab9a-3b04f939a704' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>pitch of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_pitch_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude pitch angle; positive values move the KMSF +x axis up.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sc_yaw</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-3fd91da0-1f34-4ce3-9d7f-9fad23dd6966' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3fd91da0-1f34-4ce3-9d7f-9fad23dd6966' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aafaed20-2e52-4fb1-948f-dbfe4ca5a88e' class='xr-var-data-in' type='checkbox'><label for='data-aafaed20-2e52-4fb1-948f-dbfe4ca5a88e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>yaw of the spacecraft</dd><dt><span>standard_name :</span></dt><dd>platform_yaw_angle</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>-1799999</dd><dt><span>valid_max :</span></dt><dd>1800000</dd><dt><span>comment :</span></dt><dd>KMSF attitude yaw angle relative to the nadir track. The yaw angle is a right-handed rotation about the nadir (downward) direction. A yaw value of 0 deg indicates that the KMSF +x axis is aligned with the horizontal component of the Earth-relative velocity vector. A yaw value of 180 deg indicates that the spacecraft is in a yaw-flipped state, with the KMSF -x axis aligned with the horizontal component of the Earth-relative velocity vector.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
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       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity_heading</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-d2a4348d-3aa9-42e3-b18e-c99e355dd716' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2a4348d-3aa9-42e3-b18e-c99e355dd716' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-712d761e-9efe-4315-bdbf-223032973503' class='xr-var-data-in' type='checkbox'><label for='data-712d761e-9efe-4315-bdbf-223032973503' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>heading of the spacecraft Earth-relative velocity vector</dd><dt><span>units :</span></dt><dd>degrees</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Angle with respect to true north of the horizontal component of the spacecraft Earth-relative velocity vector. A value of 90 deg indicates that the spacecraft velocity vector pointed due east. Values between 0 and 90 deg indicate that the velocity vector has a northward component, and values between 90 and 180 deg indicate that the velocity vector has a southward component.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "            <table>\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>orbit_qual</span></div><div class='xr-var-dims'>(num_lines)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725,), meta=np.ndarray&gt;</div><input id='attrs-0fb7edf4-1c97-4e89-bc7b-f59038068193' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0fb7edf4-1c97-4e89-bc7b-f59038068193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0e93e0b-1d16-4ee4-a7d5-e32334e9cb5e' class='xr-var-data-in' type='checkbox'><label for='data-a0e93e0b-1d16-4ee4-a7d5-e32334e9cb5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>orbit quality flag </dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>Orbit quality flag.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 1.32 MiB </td>\n",
       "                        <td> 6.74 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000,) </td>\n",
       "                        <td> (1725,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-7d0a410b-ab8b-49a4-82e8-da1f63a7b175' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d0a410b-ab8b-49a4-82e8-da1f63a7b175' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-158a4829-6f3c-4774-b34e-00ae1480ddd9' class='xr-var-data-in' type='checkbox'><label for='data-158a4829-6f3c-4774-b34e-00ae1480ddd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average latitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>valid_min :</span></dt><dd>-80000000</dd><dt><span>valid_max :</span></dt><dd>80000000</dd><dt><span>comment :</span></dt><dd>Latitude of measurement [-80,80]. Positive latitude is North latitude, negative latitude is South latitude.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude_avg_ssh</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-ee501f65-4011-4e08-a2a1-743e4a7d5489' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee501f65-4011-4e08-a2a1-743e4a7d5489' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48d3cd86-65fc-469a-a438-c78bf6febe93' class='xr-var-data-in' type='checkbox'><label for='data-48d3cd86-65fc-469a-a438-c78bf6febe93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>weighted average longitude of samples used to compute SSH</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>359999999</dd><dt><span>comment :</span></dt><dd>Longitude of measurement. East longitude relative to Greenwich meridian.  This value may be biased away from a nominal grid location if some of the native, unsmoothed samples were discarded during processing.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cross_track_distance</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-27d778e2-4a10-4625-9aab-c02dee4fd235' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27d778e2-4a10-4625-9aab-c02dee4fd235' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c1eb11c8-83b2-468e-b07c-710be98bedd2' class='xr-var-data-in' type='checkbox'><label for='data-c1eb11c8-83b2-468e-b07c-710be98bedd2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>cross track distance</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-75000.0</dd><dt><span>valid_max :</span></dt><dd>75000.0</dd><dt><span>comment :</span></dt><dd>Distance of sample from nadir. Negative values indicate the left side of the swath, and positive values indicate the right side of the swath.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>x_factor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-45dd3660-6fff-4ffe-ad16-c88c4c238cad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45dd3660-6fff-4ffe-ad16-c88c4c238cad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-63100293-21f8-450c-94bd-11be6c44231e' class='xr-var-data-in' type='checkbox'><label for='data-63100293-21f8-450c-94bd-11be6c44231e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometric calibration X factor as a composite value for the X factors of the +y and -y channels</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>0.0</dd><dt><span>valid_max :</span></dt><dd>1e+20</dd><dt><span>comment :</span></dt><dd>Radiometric calibration X factor as a linear power ratio.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_model</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-44678556-f559-4a77-b4d2-3bc4812f4cdc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44678556-f559-4a77-b4d2-3bc4812f4cdc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-753caf3a-ce6b-4146-b216-3a7d7d128292' class='xr-var-data-in' type='checkbox'><label for='data-753caf3a-ce6b-4146-b216-3a7d7d128292' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from weather model data as a linear power multiplier (not decibels). sig0_cor_atmos_model is already applied in computing sig0_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sig0_cor_atmos_rad</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-f2796b3e-3ff9-4696-b23e-2b030b93b51f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2796b3e-3ff9-4696-b23e-2b030b93b51f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7602247c-92b8-42c7-b762-c849d9579d7a' class='xr-var-data-in' type='checkbox'><label for='data-7602247c-92b8-42c7-b762-c849d9579d7a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>two-way atmospheric correction to sigma0 from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>valid_min :</span></dt><dd>1.0</dd><dt><span>valid_max :</span></dt><dd>10.0</dd><dt><span>comment :</span></dt><dd>Atmospheric correction to sigma0 from radiometer data as a linear power multiplier (not decibels). sig0_cor_atmos_rad is already applied in computing sig0_karin.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>doppler_centroid</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-0c9b5439-efd0-415b-9e5a-4419de4d2975' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c9b5439-efd0-415b-9e5a-4419de4d2975' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e2c7351-556a-480c-996f-a49a3590bfe9' class='xr-var-data-in' type='checkbox'><label for='data-2e2c7351-556a-480c-996f-a49a3590bfe9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>doppler centroid estimated by KaRIn</dd><dt><span>units :</span></dt><dd>1/s</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Doppler centroid (in hertz or cycles per second) estimated by KaRIn.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1725, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>phase_bias_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-8b21674e-847f-41e0-9db4-5456db8ed42e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b21674e-847f-41e0-9db4-5456db8ed42e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f45576c6-6fac-4b4f-bc13-6f7f98d150e3' class='xr-var-data-in' type='checkbox'><label for='data-f45576c6-6fac-4b4f-bc13-6f7f98d150e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used for phase bias calculation</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used for phase bias calculation during L1B processing.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
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       "                    <td> float64 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>obp_ref_surface</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-0395f54f-7e98-4274-8522-4853e1f79cc6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0395f54f-7e98-4274-8522-4853e1f79cc6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42cea074-d571-47a8-93fa-4ee22a8f8689' class='xr-var-data-in' type='checkbox'><label for='data-42cea074-d571-47a8-93fa-4ee22a8f8689' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height of reference surface used by on-board-processor</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height (relative to the reference ellipsoid) of the reference surface used by the KaRIn on-board processor.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
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       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
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       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_187</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-d8560ad9-3eff-4bb4-8cb5-f511d4fd4285' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d8560ad9-3eff-4bb4-8cb5-f511d4fd4285' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1d6a9ac-24fd-4622-a436-dc0bd2f0290b' class='xr-var-data-in' type='checkbox'><label for='data-f1d6a9ac-24fd-4622-a436-dc0bd2f0290b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 18.7 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 18.7 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1725, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_238</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-fa9e0a9d-e6d9-48c9-8a42-d91d8aeff342' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fa9e0a9d-e6d9-48c9-8a42-d91d8aeff342' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce03f2ee-bf1b-41fd-a483-21127731b659' class='xr-var-data-in' type='checkbox'><label for='data-ce03f2ee-bf1b-41fd-a483-21127731b659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 23.8 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>13000</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 23.8 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "            <table>\n",
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       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 2) </td>\n",
       "                        <td> (1725, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_tmb_340</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-9723d27f-86a2-4646-a364-0f4134c7dde4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9723d27f-86a2-4646-a364-0f4134c7dde4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12efb619-d5e4-40ba-b2a3-067f9118baeb' class='xr-var-data-in' type='checkbox'><label for='data-12efb619-d5e4-40ba-b2a3-067f9118baeb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>radiometer main beam brightness temperature at 34.0 GHz</dd><dt><span>standard_name :</span></dt><dd>toa_brightness_temperature</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>K</dd><dt><span>valid_min :</span></dt><dd>15000</dd><dt><span>valid_max :</span></dt><dd>28000</dd><dt><span>comment :</span></dt><dd>Main beam brightness temperature measurement at 34.0 GHz. Value is unsmoothed (along-track averaging has not been performed).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                    <tr>\n",
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       "                        <td> (1725, 2) </td>\n",
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       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_water_vapor</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-3a758d6d-a450-486b-bf25-2cf73e08ce33' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a758d6d-a450-486b-bf25-2cf73e08ce33' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a630936-b915-48c5-8540-0246d5e106db' class='xr-var-data-in' type='checkbox'><label for='data-6a630936-b915-48c5-8540-0246d5e106db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>water vapor content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_water_vapor_content </dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>15000</dd><dt><span>comment :</span></dt><dd>Integrated water vapor content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 2) </td>\n",
       "                        <td> (1725, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_cloud_liquid_water</span></div><div class='xr-var-dims'>(num_lines, num_sides)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 2), meta=np.ndarray&gt;</div><input id='attrs-bd4e3776-916c-4ebe-9b58-7599db44505f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd4e3776-916c-4ebe-9b58-7599db44505f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53c401cf-535b-4168-a98e-685bd2693c85' class='xr-var-data-in' type='checkbox'><label for='data-53c401cf-535b-4168-a98e-685bd2693c85' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>liquid water content from radiometer</dd><dt><span>standard_name :</span></dt><dd>atmosphere_cloud_liquid_water_content  </dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>kg/m^2</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Integrated cloud liquid water content from radiometer measurements.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 2.63 MiB </td>\n",
       "                        <td> 13.48 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 2) </td>\n",
       "                        <td> (1725, 2) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-c0774c9e-b2bb-4f40-824d-95910600ca16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0774c9e-b2bb-4f40-824d-95910600ca16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08168b04-6a8e-407b-a8cd-fce66a04fb89' class='xr-var-data-in' type='checkbox'><label for='data-08168b04-6a8e-407b-a8cd-fce66a04fb89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_15</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_cnescls_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-c2d6d8c0-acbd-45ff-ac36-3fa6b4fd4c34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2d6d8c0-acbd-45ff-ac36-3fa6b4fd4c34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8b5484c-fac0-4159-b92b-51f16f843a93' class='xr-var-data-in' type='checkbox'><label for='data-d8b5484c-fac0-4159-b92b-51f16f843a93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (CNES/CLS)</dd><dt><span>source :</span></dt><dd>CNES_CLS_15</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_cnescls).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-3403d633-9de4-451d-affc-07adb4bb38ed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3403d633-9de4-451d-affc-07adb4bb38ed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cc1842a-f897-433b-88b9-04670057dbae' class='xr-var-data-in' type='checkbox'><label for='data-3cc1842a-f897-433b-88b9-04670057dbae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Mean sea surface height above the reference ellipsoid. The value is referenced to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_sea_surface_dtu_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-220c60cf-05f5-4819-8bda-31594dce6591' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-220c60cf-05f5-4819-8bda-31594dce6591' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dfbd8ac-8f49-46d4-84e0-e8d8880d6414' class='xr-var-data-in' type='checkbox'><label for='data-1dfbd8ac-8f49-46d4-84e0-e8d8880d6414' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean sea surface height accuracy (DTU)</dd><dt><span>source :</span></dt><dd>DTU18</dd><dt><span>institution :</span></dt><dd>DTU</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean sea surface height (mean_sea_surface_dtu)</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>geoid</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-0a5e9bb7-8646-4ad3-84a2-2b6f58c79b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0a5e9bb7-8646-4ad3-84a2-2b6f58c79b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-105ffac6-edfe-4c0d-9ebd-c38c4b5be060' class='xr-var-data-in' type='checkbox'><label for='data-105ffac6-edfe-4c0d-9ebd-c38c4b5be060' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geoid height</dd><dt><span>standard_name :</span></dt><dd>geoid_height_above_reference_ellipsoid</dd><dt><span>source :</span></dt><dd>EGM2008 (Pavlis et al., 2012)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-1500000</dd><dt><span>valid_max :</span></dt><dd>1500000</dd><dt><span>comment :</span></dt><dd>Geoid height above the reference ellipsoid with a correction to refer the value to the mean tide system, i.e. includes the permanent tide (zero frequency).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-84d40983-0ef2-474d-8aad-0c8f06459e6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-84d40983-0ef2-474d-8aad-0c8f06459e6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8bba8056-3448-432a-9a64-5b884049029e' class='xr-var-data-in' type='checkbox'><label for='data-8bba8056-3448-432a-9a64-5b884049029e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography</dd><dt><span>source :</span></dt><dd>CNES_CLS_18</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>30000</dd><dt><span>comment :</span></dt><dd>Mean dynamic topography above the geoid.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mean_dynamic_topography_uncert</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-de26f333-2470-4c90-a4fe-a74308e6da23' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de26f333-2470-4c90-a4fe-a74308e6da23' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c29ebf3-a54b-4f0c-8ece-2ea8b9717cfb' class='xr-var-data-in' type='checkbox'><label for='data-3c29ebf3-a54b-4f0c-8ece-2ea8b9717cfb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>mean dynamic topography accuracy</dd><dt><span>source :</span></dt><dd>CNES_CLS_18</dd><dt><span>institution :</span></dt><dd>CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Accuracy of the mean dynamic topography.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>depth_or_elevation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-56619f45-1fb8-416a-92bc-d697c820ed91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56619f45-1fb8-416a-92bc-d697c820ed91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44bc663c-0270-4cfe-87f4-ebb8aaf5eb58' class='xr-var-data-in' type='checkbox'><label for='data-44bc663c-0270-4cfe-87f4-ebb8aaf5eb58' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ocean depth or land elevation</dd><dt><span>source :</span></dt><dd>Altimeter Corrected Elevations, version 2</dd><dt><span>institution :</span></dt><dd>European Space Agency</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Ocean depth or land elevation above reference ellipsoid. Ocean depth (bathymetry) is given as negative values, and land elevation positive values.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>solid_earth_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-8e07976f-ea6c-479c-8247-1a7b493ed389' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e07976f-ea6c-479c-8247-1a7b493ed389' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fa16547-2ce8-44db-9367-0fdf269b5682' class='xr-var-data-in' type='checkbox'><label for='data-1fa16547-2ce8-44db-9367-0fdf269b5682' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>solid Earth tide height</dd><dt><span>source :</span></dt><dd>Cartwright and Taylor (1971) and Cartwright and Edden (1973)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Solid-Earth (body) tide height. The zero-frequency permanent tide component is not included.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_fes</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-70d1181d-dc74-4423-8fa5-68a5c861a2df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70d1181d-dc74-4423-8fa5-68a5c861a2df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc853eee-a90c-4cda-a7f7-670c9d6ff1ed' class='xr-var-data-in' type='checkbox'><label for='data-fc853eee-a90c-4cda-a7f7-670c9d6ff1ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric ocean tide height (FES)</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-300000</dd><dt><span>valid_max :</span></dt><dd>300000</dd><dt><span>comment :</span></dt><dd>Geocentric ocean tide height. Includes the sum total of the ocean tide, the corresponding load tide (load_tide_fes) and equilibrium long-period ocean tide height (ocean_tide_eq).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                        <th> Count </th>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
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       "                    <tr>\n",
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       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-eeda1d86-ba8a-45b8-aa72-1de947135001' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeda1d86-ba8a-45b8-aa72-1de947135001' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca5e020f-ac0a-42bc-ad5c-6d02039766d6' class='xr-var-data-in' type='checkbox'><label for='data-ca5e020f-ac0a-42bc-ad5c-6d02039766d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>equilibrium long-period ocean tide height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Equilibrium long-period ocean tide height. This value has already been added to the corresponding ocean tide height values (ocean_tide_fes and ocean_tide_got).</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ocean_tide_non_eq</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-bd758ca7-d78a-484c-8e23-8abacc53f8df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd758ca7-d78a-484c-8e23-8abacc53f8df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c5e509c5-22fa-4fdc-913d-f8aa25528035' class='xr-var-data-in' type='checkbox'><label for='data-c5e509c5-22fa-4fdc-913d-f8aa25528035' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>non-equilibrium long-period ocean tide height</dd><dt><span>source :</span></dt><dd>FES2014b (Carrere et al., 2016)</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Non-equilibrium long-period ocean tide height. This value is reported as a relative displacement with repsect to ocean_tide_eq. This value can be added to ocean_tide_eq, ocean_tide_fes, or ocean_tide_got, or subtracted from ssha_karin and ssha_karin_2, to account for the total long-period ocean tides from equilibrium and non-equilibrium contributions.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_hret</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-0dcb4eb5-a04c-4fd2-89b6-4b43abbb0745' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dcb4eb5-a04c-4fd2-89b6-4b43abbb0745' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c8b899a9-760c-47bb-ade3-d073534b7210' class='xr-var-data-in' type='checkbox'><label for='data-c8b899a9-760c-47bb-ade3-d073534b7210' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (HRET)</dd><dt><span>source :</span></dt><dd>Zaron (2019)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal ocean tide. This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
       "                    </tr>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>internal_tide_sol2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-65417da4-d514-46a4-9671-ece0c9fc040d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65417da4-d514-46a4-9671-ece0c9fc040d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be025172-e3d4-4c85-9940-74f2b9aaa06f' class='xr-var-data-in' type='checkbox'><label for='data-be025172-e3d4-4c85-9940-74f2b9aaa06f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>coherent internal tide (Model 2)</dd><dt><span>source :</span></dt><dd>TBD</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Coherent internal tide.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pole_tide</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-ffd3646d-33a6-4013-ae99-f3598a7ac54b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffd3646d-33a6-4013-ae99-f3598a7ac54b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fb3139b-f64f-4caa-99ab-e044fde20e76' class='xr-var-data-in' type='checkbox'><label for='data-1fb3139b-f64f-4caa-99ab-e044fde20e76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>geocentric pole tide height</dd><dt><span>source :</span></dt><dd>Wahr (1985) and Desai et al. (2015)</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Geocentric pole tide height.  The total of the contribution from the solid-Earth (body) pole tide height, the ocean pole tide height, and the load pole tide height (i.e., the effect of the ocean pole tide loading of the Earth&#x27;s crust).</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> 93.44 MiB </td>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
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       "                    <th> Type </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dac</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-d74ef90a-ffd6-4669-8af0-81991acdbf36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d74ef90a-ffd6-4669-8af0-81991acdbf36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f87db12d-1b9f-479e-b01a-f9730949e739' class='xr-var-data-in' type='checkbox'><label for='data-f87db12d-1b9f-479e-b01a-f9730949e739' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dynamic atmospheric correction</dd><dt><span>source :</span></dt><dd>MOG2D</dd><dt><span>institution :</span></dt><dd>LEGOS/CNES/CLS</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-12000</dd><dt><span>valid_max :</span></dt><dd>12000</dd><dt><span>comment :</span></dt><dd>Model estimate of the effect on sea surface topography due to high frequency air pressure and wind effects and the low-frequency height from inverted barometer effect (inv_bar_cor). This value is subtracted from the ssh_karin and ssh_karin_2 to compute ssha_karin and ssha_karin_2, respectively. Use only one of inv_bar_cor and dac.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "                        <td> 93.44 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>inv_bar_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-878caffb-1968-4f0a-b2bb-12eb744e333f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-878caffb-1968-4f0a-b2bb-12eb744e333f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a74e6bb9-3349-4f77-8ada-659edd6e78db' class='xr-var-data-in' type='checkbox'><label for='data-a74e6bb9-3349-4f77-8ada-659edd6e78db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>static inverse barometer effect on sea surface height</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-2000</dd><dt><span>valid_max :</span></dt><dd>2000</dd><dt><span>comment :</span></dt><dd>Estimate of static effect of atmospheric pressure on sea surface height. Above average pressure lowers sea surface height. Computed by interpolating ECMWF pressure fields in space and time. The value is included in dac. To apply, add dac to ssha_karin and ssha_karin_2 and subtract inv_bar_cor.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_dry_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-2294d715-b3e4-4f9e-bbdf-32c997a512ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2294d715-b3e4-4f9e-bbdf-32c997a512ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5aa400f0-d564-45e2-89d0-43dfdd7cebf3' class='xr-var-data-in' type='checkbox'><label for='data-5aa400f0-d564-45e2-89d0-43dfdd7cebf3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>dry troposphere vertical correction</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-30000</dd><dt><span>valid_max :</span></dt><dd>-15000</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to dry troposphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>model_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-a37a3943-c927-4fad-8b4a-b8104165445b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a37a3943-c927-4fad-8b4a-b8104165445b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4917cc7-5bf7-49ee-8c80-8dd5b4818d89' class='xr-var-data-in' type='checkbox'><label for='data-f4917cc7-5bf7-49ee-8c80-8dd5b4818d89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from weather model data</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from weather model data. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin_2) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rad_wet_tropo_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-58a22415-14c7-40bd-a21b-8ff6bf0e248c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-58a22415-14c7-40bd-a21b-8ff6bf0e248c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6378d989-bb91-4e7f-8e38-dfe7f0fe871e' class='xr-var-data-in' type='checkbox'><label for='data-6378d989-bb91-4e7f-8e38-dfe7f0fe871e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>wet troposphere vertical correction from radiometer data</dd><dt><span>source :</span></dt><dd>Advanced Microwave Radiometer</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-10000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to wet troposphere delay from radiometer measurements. The reported pixel height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height (ssh_karin) results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iono_cor_gim_ka</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-a822004d-137f-406e-94e6-40c6e91a953c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a822004d-137f-406e-94e6-40c6e91a953c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d6427834-7882-4d16-be27-dd86df0e331d' class='xr-var-data-in' type='checkbox'><label for='data-d6427834-7882-4d16-be27-dd86df0e331d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ionosphere vertical correction</dd><dt><span>source :</span></dt><dd>Global Ionosphere Maps</dd><dt><span>institution :</span></dt><dd>JPL</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-5000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Equivalent vertical correction due to ionosphere delay. The reported sea surface height, latitude and longitude are computed after adding negative media corrections to uncorrected range along slant-range paths, accounting for the differential delay between the two KaRIn antennas. The equivalent vertical correction is computed by applying obliquity factors to the slant-path correction. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>height_cor_xover</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-88ec5f54-06b0-48b4-971a-2365982900be' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-88ec5f54-06b0-48b4-971a-2365982900be' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e619756-5d44-428e-828d-e021e7100371' class='xr-var-data-in' type='checkbox'><label for='data-2e619756-5d44-428e-828d-e021e7100371' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>height correction from KaRIn crossovers</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-100000</dd><dt><span>valid_max :</span></dt><dd>100000</dd><dt><span>comment :</span></dt><dd>Height correction from KaRIn crossover calibration. To apply this correction the value of height_cor_xover should be added to the value of ssh_karin, ssh_karin_2, ssha_karin, and ssha_karin_2.</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>correction_flag</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-f40870e5-272e-49c9-b6fd-e2597cfef1ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f40870e5-272e-49c9-b6fd-e2597cfef1ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b16ad5f4-0e59-44f0-af4d-0eebe5edba95' class='xr-var-data-in' type='checkbox'><label for='data-b16ad5f4-0e59-44f0-af4d-0eebe5edba95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>quality flag for corrections</dd><dt><span>standard_name :</span></dt><dd>status_flag</dd><dt><span>flag_meanings :</span></dt><dd>good bad</dd><dt><span>flag_values :</span></dt><dd>[0 1]</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>1</dd><dt><span>comment :</span></dt><dd>Quality flag for corrections.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rain_rate</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-63eb166a-061c-4d26-a0cb-3821fe28797a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63eb166a-061c-4d26-a0cb-3821fe28797a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10515703-1920-4df8-a7d7-208f3714ed5c' class='xr-var-data-in' type='checkbox'><label for='data-10515703-1920-4df8-a7d7-208f3714ed5c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>rain rate from weather model</dd><dt><span>source :</span></dt><dd>European Centre for Medium-Range Weather Forecasts</dd><dt><span>institution :</span></dt><dd>ECMWF</dd><dt><span>units :</span></dt><dd>mm/hr</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>200</dd><dt><span>comment :</span></dt><dd>Rain rate from weather model.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ice_conc</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-5ee4ecb9-f5df-475b-981d-4847dba038a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ee4ecb9-f5df-475b-981d-4847dba038a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d867cacb-3662-434f-ab0b-780699c34f07' class='xr-var-data-in' type='checkbox'><label for='data-d867cacb-3662-434f-ab0b-780699c34f07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>concentration of sea ice</dd><dt><span>standard_name :</span></dt><dd>sea_ice_area_fraction</dd><dt><span>source :</span></dt><dd>EUMETSAT Ocean and Sea Ice Satellite Applications Facility</dd><dt><span>institution :</span></dt><dd>EUMETSAT</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>10000</dd><dt><span>comment :</span></dt><dd>Concentration of sea ice from model.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-b35d19a0-fa08-4666-b8ac-92cb83ad3a22' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b35d19a0-fa08-4666-b8ac-92cb83ad3a22' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0eddb822-8dbd-4cbd-8c59-57e79c5c4774' class='xr-var-data-in' type='checkbox'><label for='data-0eddb822-8dbd-4cbd-8c59-57e79c5c4774' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction to height</dd><dt><span>source :</span></dt><dd>TBD</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction to ssh_karin. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sea_state_bias_cor_2</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-915269f1-6661-4f25-b6ed-917d560388fc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-915269f1-6661-4f25-b6ed-917d560388fc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c3290ae-2f5a-4d91-8bfd-07a1b746f9d4' class='xr-var-data-in' type='checkbox'><label for='data-4c3290ae-2f5a-4d91-8bfd-07a1b746f9d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea state bias correction to height</dd><dt><span>source :</span></dt><dd>TBD</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-6000</dd><dt><span>valid_max :</span></dt><dd>0</dd><dt><span>comment :</span></dt><dd>Sea state bias correction to ssh_karin_2. Adding the reported correction to the reported sea surface height results in the uncorrected sea surface height. The wind_speed_karin_2 value is used to compute this quantity.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                        <td> (1725, 71) </td>\n",
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       "                        <th> Count </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swh_sea_state_bias</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-7bfa779c-9c2c-4949-b232-3e268454e8dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bfa779c-9c2c-4949-b232-3e268454e8dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-094c15b5-1e37-4466-afca-f7333b0e6a4a' class='xr-var-data-in' type='checkbox'><label for='data-094c15b5-1e37-4466-afca-f7333b0e6a4a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SWH used in sea state bias correction</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>0</dd><dt><span>valid_max :</span></dt><dd>25000</dd><dt><span>comment :</span></dt><dd>Significant wave height used in sea state bias correction.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                <tbody>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 93.44 MiB </td>\n",
       "                        <td> 478.42 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>simulated_true_ssh_karin</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-579345ed-73be-4a5a-ae76-d0f68a09cc26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-579345ed-73be-4a5a-ae76-d0f68a09cc26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f56337d-8ad0-4342-8728-4a84f2268960' class='xr-var-data-in' type='checkbox'><label for='data-0f56337d-8ad0-4342-8728-4a84f2268960' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sea surface height</dd><dt><span>standard_name :</span></dt><dd>sea surface height above reference ellipsoid</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_min :</span></dt><dd>-15000000</dd><dt><span>valid_max :</span></dt><dd>150000000</dd><dt><span>comment :</span></dt><dd>Height of the sea surface free of measurement errors.</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
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       "                        <th> Count </th>\n",
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       "                    <tr>\n",
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       "                        <th> Count </th>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>simulated_error_timing</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-3ea64a7c-ca52-4e57-9f8c-43206dfd25d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3ea64a7c-ca52-4e57-9f8c-43206dfd25d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-501102a5-2276-419e-9d1b-999f550ecb23' class='xr-var-data-in' type='checkbox'><label for='data-501102a5-2276-419e-9d1b-999f550ecb23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Timing error</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>simulated_error_roll</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-244cd692-5219-47fe-8884-b09449f2c8b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-244cd692-5219-47fe-8884-b09449f2c8b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abd7dbec-ff8d-4bb0-a1d0-514b9be9bf8a' class='xr-var-data-in' type='checkbox'><label for='data-abd7dbec-ff8d-4bb0-a1d0-514b9be9bf8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to roll</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>simulated_error_phase</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-3dc1d257-e183-452f-9419-189b3cadbd34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3dc1d257-e183-452f-9419-189b3cadbd34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4b8c2f5-3073-42f0-bd59-29806cee471d' class='xr-var-data-in' type='checkbox'><label for='data-f4b8c2f5-3073-42f0-bd59-29806cee471d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to phase</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>simulated_error_baseline_dilation</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-1f064ae7-c56f-440a-9a8c-0181e9d64491' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f064ae7-c56f-440a-9a8c-0181e9d64491' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb2f219d-1562-4171-9411-d964f98f2668' class='xr-var-data-in' type='checkbox'><label for='data-bb2f219d-1562-4171-9411-d964f98f2668' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to baseline mast dilation</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 186.88 MiB </td>\n",
       "                        <td> 0.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (345000, 71) </td>\n",
       "                        <td> (1725, 71) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 600 Tasks </td>\n",
       "                        <td> 200 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>simulated_error_orbital</span></div><div class='xr-var-dims'>(num_lines, num_pixels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1725, 71), meta=np.ndarray&gt;</div><input id='attrs-efb8652f-7bdf-4764-9ef2-ca216a776a63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efb8652f-7bdf-4764-9ef2-ca216a776a63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ff4c0e4-ee0e-425d-aa04-181cbc83bf35' class='xr-var-data-in' type='checkbox'><label for='data-3ff4c0e4-ee0e-425d-aa04-181cbc83bf35' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Error due to orbital perturbations</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-d24bebb6-12e1-4070-852b-3f211c390a39' class='xr-section-summary-in' type='checkbox'  ><label for='section-d24bebb6-12e1-4070-852b-3f211c390a39' class='xr-section-summary' >Attributes: <span>(33)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>title :</span></dt><dd>Level 2 Low Rate Sea Surface Height Data Product - Expert SSH with Wind and Wave</dd><dt><span>institution :</span></dt><dd>CNES/JPL</dd><dt><span>source :</span></dt><dd>Simulate product</dd><dt><span>history :</span></dt><dd>2021-09-10 10:21:42Z : Creation\n",
       "2022-03-15 02:00:14.090190 l2ss-py v1.3.1 (bbox=[[-140, -100], [20, 50]] cut=True)</dd><dt><span>platform :</span></dt><dd>SWOT</dd><dt><span>product_version :</span></dt><dd>1.1.0.dev33</dd><dt><span>references :</span></dt><dd>Gaultier, L., C. Ubelmann, and L.-L. Fu, 2016: The Challenge of Using Future SWOT Data for Oceanic Field Reconstruction. J. Atmos. Oceanic Technol., 33, 119-126, doi:10.1175/jtech-d-15-0160.1. http://dx.doi.org/10.1175/JTECH-D-15-0160.1.</dd><dt><span>reference_document :</span></dt><dd>D-56407_SWOT_Product_Description_L2_LR_SSH</dd><dt><span>contact :</span></dt><dd>CNES aviso@altimetry.fr, JPL podaac@podaac.jpl.nasa.gov</dd><dt><span>cycle_number :</span></dt><dd>1</dd><dt><span>pass_number :</span></dt><dd>2</dd><dt><span>equator_time :</span></dt><dd>2014-04-12T13:16:36.632378Z</dd><dt><span>equator_longitude :</span></dt><dd>241.0399492076512</dd><dt><span>time_coverage_start :</span></dt><dd>2014-04-12T12:51:05.908510Z</dd><dt><span>time_coverage_end :</span></dt><dd>2014-04-12T13:42:11.657851Z</dd><dt><span>geospatial_lon_min :</span></dt><dd>157.49096122927315</dd><dt><span>geospatial_lon_max :</span></dt><dd>324.5479303102159</dd><dt><span>geospatial_lat_min :</span></dt><dd>-78.29215289609066</dd><dt><span>geospatial_lat_max :</span></dt><dd>78.29210766379802</dd><dt><span>left_first_longitude :</span></dt><dd>157.50159722548028</dd><dt><span>left_first_latitude :</span></dt><dd>78.29210766379802</dd><dt><span>left_last_longitude :</span></dt><dd>324.5449888017422</dd><dt><span>left_last_latitude :</span></dt><dd>-77.03310286631447</dd><dt><span>right_first_longitude :</span></dt><dd>157.49096122927315</dd><dt><span>right_first_latitude :</span></dt><dd>77.03305952328705</dd><dt><span>right_last_longitude :</span></dt><dd>324.5479303102159</dd><dt><span>right_last_latitude :</span></dt><dd>-78.29215289609066</dd><dt><span>wavelength :</span></dt><dd>0.008385803020979</dd><dt><span>orbit_solution :</span></dt><dd>POE</dd><dt><span>ellipsoid_semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>ellipsoid_flattening :</span></dt><dd>0.003352810664781205</dd><dt><span>history_json :</span></dt><dd>[{&quot;date_time&quot;: &quot;2022-03-15T02:00:14.090225+00:00&quot;, &quot;derived_from&quot;: &quot;https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/SWOT_SIMULATED_L2_KARIN_SSH_GLORYS_CALVAL_V1/SWOT_L2_LR_SSH_Expert_001_002_20140412T125105_20140412T134211_DG10_01.nc&quot;, &quot;program&quot;: &quot;l2ss-py&quot;, &quot;version&quot;: &quot;1.3.1&quot;, &quot;parameters&quot;: &quot;bbox=[[-140, -100], [20, 50]] cut=True&quot;, &quot;program_ref&quot;: &quot;https://cmr.earthdata.nasa.gov:443/search/concepts/S1962070864-POCLOUD&quot;, &quot;$schema&quot;: &quot;https://harmony.earthdata.nasa.gov/schemas/history/0.1.0/history-v0.1.0.json&quot;}]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                                (num_lines: 345000, num_pixels: 71,\n",
       "                                            num_sides: 2)\n",
       "Coordinates:\n",
       "    latitude                               (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    longitude                              (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    latitude_nadir                         (num_lines) float64 dask.array<chunksize=(1725,), meta=np.ndarray>\n",
       "    longitude_nadir                        (num_lines) float64 dask.array<chunksize=(1725,), meta=np.ndarray>\n",
       "Dimensions without coordinates: num_lines, num_pixels, num_sides\n",
       "Data variables: (12/91)\n",
       "    time                                   (num_lines) datetime64[ns] dask.array<chunksize=(1725,), meta=np.ndarray>\n",
       "    time_tai                               (num_lines) datetime64[ns] dask.array<chunksize=(1725,), meta=np.ndarray>\n",
       "    ssh_karin                              (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    ssh_karin_uncert                       (num_lines, num_pixels) float32 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    ssha_karin                             (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    ssh_karin_2                            (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    ...                                     ...\n",
       "    simulated_error_karin                  (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    simulated_error_timing                 (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    simulated_error_roll                   (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    simulated_error_phase                  (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    simulated_error_baseline_dilation      (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "    simulated_error_orbital                (num_lines, num_pixels) float64 dask.array<chunksize=(1725, 71), meta=np.ndarray>\n",
       "Attributes: (12/33)\n",
       "    Conventions:                CF-1.7\n",
       "    title:                      Level 2 Low Rate Sea Surface Height Data Prod...\n",
       "    institution:                CNES/JPL\n",
       "    source:                     Simulate product\n",
       "    history:                    2021-09-10 10:21:42Z : Creation\\n2022-03-15 0...\n",
       "    platform:                   SWOT\n",
       "    ...                         ...\n",
       "    right_last_latitude:        -78.29215289609066\n",
       "    wavelength:                 0.008385803020979\n",
       "    orbit_solution:             POE\n",
       "    ellipsoid_semi_major_axis:  6378137.0\n",
       "    ellipsoid_flattening:       0.003352810664781205\n",
       "    history_json:               [{\"date_time\": \"2022-03-15T02:00:14.090225+00..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_mfdataset(sorted(file_names),combine='nested',concat_dim='num_lines')\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1c0b01ac-01b0-40d0-a156-d71801a85bc2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot only a pair of passes at a time\n",
    "i_time = np.arange(0,1725*2)+1725*90\n",
    "\n",
    "fig = plt.figure(figsize=[11,7]) \n",
    "ax = plt.axes(projection=ccrs.PlateCarree())\n",
    "ax.coastlines()\n",
    "ax.set_extent([-150, -90, 10, 60])\n",
    "plt.scatter(ds.longitude[i_time,:], ds.latitude[i_time,:], lw=1, c=ds.ssha_karin[i_time,:])\n",
    "plt.colorbar(label='SSHA (m)')\n",
    "plt.clim(-1,1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a8097405-448e-48b0-b754-152cb6bd1bb4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}