From 92e5f3636dae541bbadf72e8d23b0ef1d187dc3d Mon Sep 17 00:00:00 2001 From: Phoebe Sham Date: Fri, 3 Mar 2023 15:52:34 -0800 Subject: [PATCH 1/5] Add opendap tutorials for cloud credentials and subsetting --- .../opendap-cloud-credentials-tutorial.ipynb | 416 +++++++++++++++ .../opendap/opendap-subsetting-tutorial.ipynb | 488 ++++++++++++++++++ 2 files changed, 904 insertions(+) create mode 100644 notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb create mode 100644 notebooks/opendap/opendap-subsetting-tutorial.ipynb diff --git a/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb b/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb new file mode 100644 index 00000000..a66bdaa5 --- /dev/null +++ b/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb @@ -0,0 +1,416 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# OPeNDAP Cloud Set Up" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 1. Register a username and password at: https://urs.earthdata.nasa.gov/" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 2: Set Up ~/.netrc\n", + "With your usernamd and password from Step 1, input your username and password by creating a .netrc on your local machine by running the command below.\n", + "\n", + "`\n", + "echo \"machine urs.earthdata.nasa.gov login your_username password your_password\" > ~/.netrc\n", + "`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Confirm your netrc file generated successfully by running `cat ~/.netrc`\n", + "\n", + "It should look like this:\n", + "\n", + "```machine urs.earthdata.nasa.gov login your_username password your_password```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 3: Set Up ~/.urs_cookies\n", + "This saves http cookies in a local file named .urs_cookies which allows you to access any URS-protected data file.\n", + "Adapted from: https://urs.earthdata.nasa.gov/documentation/for_users/data_access/curl_and_wget" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```wget --quiet --load-cookies ~/.urs_cookies --save-cookies ~/.urs_cookies --keep-session-cookies --auth-no-challenge \"https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-protected/VIIRS_NPP-STAR-L3U-v2.80/20120201000000-STAR-L3U_GHRSST-SSTsubskin-VIIRS_NPP-ACSPO_V2.80-v02.0-fv01.0.nc\"```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Confirm your netrc file generated successfully by running `cat ~/.urs_cookies`\n", + "\n", + "It should look like this:\n", + "\n", + "```\n", + "# HTTP Cookie File\n", + "# Generated by Wget on date-today.\n", + "# Edit at your own risk.\n", + "\n", + "archive.podaac.earthdata.nasa.gov\tFALSE\t/\tFALSE\tyour-number\tyour-alpha-char your-long-string-of-char\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 4: Set Up .dodsrc\n", + "Create a .dodsrc file in the same directory as your python or notebook. If it is not in the same directory, your credentials will fail." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Overwriting .dodsrc\n" + ] + } + ], + "source": [ + "%%file .dodsrc\n", + "HTTP.NETRC=~/.netrc\n", + "HTTP.COOKIEJAR=~/.urs_cookies\n", + "# OPeNDAP client configuration file. See the OPeNDAP users guide for information.\n", + "USE_CACHE=0\n", + "# Cache and object size are given in megabytes (20 ==> 20Mb).\n", + "CACHE_ROOT=~/.dods_cache/\n", + "ALWAYS_VALIDATE=0\n", + "MAX_CACHE_SIZE=20\n", + "MAX_CACHED_OBJ=5\n", + "IGNORE_EXPIRES=0\n", + "DEFAULT_EXPIRES=86400\n", + "# Request servers compress responses if possible? 1 (yes) or 0 (false)\n", + "DEFLATE=0\n", + "# Should SSL certificates and hosts be validated? SSL will only work with signed certificates.\n", + "VALIDATE_SSL=1\n", + "# Proxy configuration (optional parts in []s).\n", + "# You may also use the 'http_proxy' environment variable\n", + "# but a value in this file will override that env variable.\n", + "#PROXY_SERVER=[http://][username:password@]host[:port]\n", + "#NO_PROXY_FOR=\n", + "#AIS_DATABASE=\n", + "#COOKIE_JAR=.dods_cookies\n", + "# The cookie jar is a file that holds cookies sent from\n", + "# servers such as single signon systems. Uncomment this\n", + "# option and provide a file name to activate this feature.\n", + "# If the value is a filename, it will be created in this\n", + "# directory; a full pathname can be used to force a specific\n", + "# location." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Confirm your .dodsrc file was generated successfully by running `cat .dodsrc`\n", + "\n", + "It should look like this: \n", + "\n", + "```\n", + "HTTP.NETRC=~/.netrc\n", + "HTTP.COOKIEJAR=~/.urs_cookies\n", + "# OPeNDAP client configuration file. See the OPeNDAP users guide for information.\n", + "USE_CACHE=0\n", + "# Cache and object size are given in megabytes (20 ==> 20Mb).\n", + "CACHE_ROOT=~/.dods_cache/\n", + "ALWAYS_VALIDATE=0\n", + "MAX_CACHE_SIZE=20\n", + "MAX_CACHED_OBJ=5\n", + "IGNORE_EXPIRES=0\n", + "DEFAULT_EXPIRES=86400\n", + "# Request servers compress responses if possible? 1 (yes) or 0 (false)\n", + "DEFLATE=0\n", + "# Should SSL certificates and hosts be validated? SSL will only work with signed certificates.\n", + "VALIDATE_SSL=1\n", + "# Proxy configuration (optional parts in []s).\n", + "# You may also use the 'http_proxy' environment variable\n", + "# but a value in this file will override that env variable.\n", + "#PROXY_SERVER=[http://][username:password@]host[:port]\n", + "#NO_PROXY_FOR=\n", + "#AIS_DATABASE=\n", + "#COOKIE_JAR=.dods_cookies\n", + "# The cookie jar is a file that holds cookies sent from\n", + "# servers such as single signon systems. Uncomment this\n", + "# option and provide a file name to activate this feature.\n", + "# If the value is a filename, it will be created in this\n", + "# directory; a full pathname can be used to force a specific\n", + "# location.\\\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 5: Test Your .netrc Credentials\n", + "Test your .netrc credentials are cached correctly by running a wget command on an opendap URL. If this wget test fails, then OPeNDAP access in step 6 will also fail. \n", + "\n", + "```wget 'https://opendap.earthdata.nasa.gov/collections/C1968979597-POCLOUD/granules/S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07'```" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--2023-03-02 16:33:29-- https://opendap.earthdata.nasa.gov/collections/C1968979597-POCLOUD/granules/S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07\n", + "Resolving opendap.earthdata.nasa.gov (opendap.earthdata.nasa.gov)... 13.226.228.88, 13.226.228.111, 13.226.228.33, ...\n", + "Connecting to opendap.earthdata.nasa.gov (opendap.earthdata.nasa.gov)|13.226.228.88|:443... connected.\n", + "HTTP request sent, awaiting response... 302 \n", + "Location: /login/urs [following]\n", + "--2023-03-02 16:33:29-- https://opendap.earthdata.nasa.gov/login/urs\n", + "Reusing existing connection to opendap.earthdata.nasa.gov:443.\n", + "HTTP request sent, awaiting response... 302 \n", + "Location: https://urs.earthdata.nasa.gov/oauth/authorize?client_id=SSCATdwCtNkEWliH3_WzDw&response_type=code&redirect_uri=https://opendap.earthdata.nasa.gov/login/urs [following]\n", + "--2023-03-02 16:33:29-- https://urs.earthdata.nasa.gov/oauth/authorize?client_id=SSCATdwCtNkEWliH3_WzDw&response_type=code&redirect_uri=https://opendap.earthdata.nasa.gov/login/urs\n", + "Resolving urs.earthdata.nasa.gov (urs.earthdata.nasa.gov)... 198.118.243.33\n", + "Connecting to urs.earthdata.nasa.gov (urs.earthdata.nasa.gov)|198.118.243.33|:443... connected.\n", + "HTTP request sent, awaiting response... 401 Unauthorized\n", + "Authentication selected: Basic realm=\"Please enter your Earthdata Login credentials. If you do not have a Earthdata Login, create one at https://urs.earthdata.nasa.gov//users/new\"\n", + "Reusing existing connection to urs.earthdata.nasa.gov:443.\n", + "HTTP request sent, awaiting response... 302 Found\n", + "Location: https://opendap.earthdata.nasa.gov/login/urs?code=b534ed56515ee90770ba16a1c12fd06e7eb4557abac4a1f3f7389e1e0ebc9f2a [following]\n", + "--2023-03-02 16:33:29-- https://opendap.earthdata.nasa.gov/login/urs?code=b534ed56515ee90770ba16a1c12fd06e7eb4557abac4a1f3f7389e1e0ebc9f2a\n", + "Connecting to opendap.earthdata.nasa.gov (opendap.earthdata.nasa.gov)|13.226.228.88|:443... connected.\n", + "HTTP request sent, awaiting response... 302 \n", + "Location: https://opendap.earthdata.nasa.gov/collections/C1968979597-POCLOUD/granules/S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07 [following]\n", + "--2023-03-02 16:33:30-- https://opendap.earthdata.nasa.gov/collections/C1968979597-POCLOUD/granules/S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07\n", + "Reusing existing connection to opendap.earthdata.nasa.gov:443.\n", + "HTTP request sent, awaiting response... 302 \n", + "Location: https://opendap.earthdata.nasa.gov/collections/C1968979597-POCLOUD/granules/S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07.dmr.html [following]\n", + "--2023-03-02 16:33:30-- https://opendap.earthdata.nasa.gov/collections/C1968979597-POCLOUD/granules/S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07.dmr.html\n", + "Reusing existing connection to opendap.earthdata.nasa.gov:443.\n", + "HTTP request sent, awaiting response... 200 \n", + "Length: unspecified [text/html]\n", + "Saving to: ‘S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07’\n", + "\n", + "S6A_P4_2__LR_STD__N [ <=> ] 2.31M 7.72MB/s in 0.3s \n", + "\n", + "2023-03-02 16:33:34 (7.72 MB/s) - ‘S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07’ saved [2425870]\n", + "\n" + ] + } + ], + "source": [ + "!wget 'https://opendap.earthdata.nasa.gov/collections/C1968979597-POCLOUD/granules/S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F07'" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "An .nc file named S6A_P4_2__LR_STD__NR_085_057_20230302T191818_20230302T210949_F0 should download into your directory" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Step 6. Test Cloud OPeNDAP Access Works\n", + "Using netCDF4 library (https://unidata.github.io/netcdf4-python/), test that your OPeNDAP cloud set up is sucessful by running the script below. If it is successful, the OPeNDAP variables will be outputted. \n", + "\n", + "It is essential that the OPeNDAP URL used in testing is compatible with nc4 formats. If the OPeNDAP is not compatible with netCDF4, this script will yield an error message. " + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "root group (NETCDF3_CLASSIC data model, file format DAP2):\n", + " acknowledgement: This research was carried out by the Jet Propulsion Laboratory, managed by the California Institute of Technology under a contract with the National Aeronautics and Space Administration.\n", + " author: Ian Fenty and Ou Wang\n", + " cdm_data_type: Grid\n", + " comment: Fields provided on a regular lat-lon grid. They have been mapped to the regular lat-lon grid from the original ECCO lat-lon-cap 90 (llc90) native model grid.\n", + " Conventions: CF-1.8, ACDD-1.3\n", + " coordinates: time_bnds latitude_bnds longitude_bnds\n", + " coordinates_comment: Note: the global 'coordinates' attribute describes auxillary coordinates.\n", + " creator_email: ecco-group@mit.edu\n", + " creator_institution: NASA Jet Propulsion Laboratory (JPL)\n", + " creator_name: ECCO Consortium\n", + " creator_type: group\n", + " creator_url: https://ecco-group.org\n", + " date_created: 2020-12-17T02:23:56\n", + " date_issued: 2020-12-17T02:23:56\n", + " date_metadata_modified: 2021-03-15T23:56:30\n", + " date_modified: 2021-03-15T23:56:30\n", + " geospatial_bounds_crs: EPSG:4326\n", + " geospatial_lat_max: 90.0\n", + " geospatial_lat_min: -90.0\n", + " geospatial_lat_resolution: 0.5\n", + " geospatial_lat_units: degrees_north\n", + " geospatial_lon_max: 180.0\n", + " geospatial_lon_min: -180.0\n", + " geospatial_lon_resolution: 0.5\n", + " geospatial_lon_units: degrees_east\n", + " history: Inaugural release of an ECCO Central Estimate solution to PO.DAAC\n", + " id: 10.5067/ECG5D-ATM44\n", + " institution: NASA Jet Propulsion Laboratory (JPL)\n", + " instrument_vocabulary: GCMD instrument keywords\n", + " keywords: EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED, EARTH SCIENCE > OCEANS > OCEAN WINDS > SURFACE WINDS, EARTH SCIENCE > OCEANS > OCEAN PRESSURE > SEA LEVEL PRESSURE, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > SPECIFIC HUMIDITY, EARTH SCIENCE SERVICES > MODELS > EARTH SCIENCE REANALYSES/ASSIMILATION MODELS, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE\n", + " keywords_vocabulary: NASA Global Change Master Directory (GCMD) Science Keywords\n", + " license: Public Domain\n", + " metadata_link: https://cmr.earthdata.nasa.gov/search/collections.umm_json?ShortName=ECCO_L4_ATM_STATE_05DEG_DAILY_V4R4\n", + " naming_authority: gov.nasa.jpl\n", + " platform: ERS-1/2, TOPEX/Poseidon, Geosat Follow-On (GFO), ENVISAT, Jason-1, Jason-2, CryoSat-2, SARAL/AltiKa, Jason-3, AVHRR, Aquarius, SSM/I, SSMIS, GRACE, DTU17MDT, Argo, WOCE, GO-SHIP, MEOP, Ice Tethered Profilers (ITP)\n", + " platform_vocabulary: GCMD platform keywords\n", + " processing_level: L4\n", + " product_name: ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_2017-12-31_ECCO_V4r4_latlon_0p50deg.nc\n", + " product_time_coverage_end: 2018-01-01T00:00:00\n", + " product_time_coverage_start: 1992-01-01T12:00:00\n", + " product_version: Version 4, Release 4\n", + " program: NASA Physical Oceanography, Cryosphere, Modeling, Analysis, and Prediction (MAP)\n", + " project: Estimating the Circulation and Climate of the Ocean (ECCO)\n", + " publisher_email: podaac@podaac.jpl.nasa.gov\n", + " publisher_institution: PO.DAAC\n", + " publisher_name: Physical Oceanography Distributed Active Archive Center (PO.DAAC)\n", + " publisher_type: institution\n", + " publisher_url: https://podaac.jpl.nasa.gov\n", + " references: ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M. 2020. Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate (Version 4 Release 4). doi:10.5281/zenodo.3765928\n", + " source: The ECCO V4r4 state estimate was produced by fitting a free-running solution of the MITgcm (checkpoint 66g) to satellite and in situ observational data in a least squares sense using the adjoint method\n", + " standard_name_vocabulary: NetCDF Climate and Forecast (CF) Metadata Convention\n", + " summary: This dataset provides daily-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea-ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.\n", + " time_coverage_duration: P1D\n", + " time_coverage_end: 2017-12-31T12:00:00\n", + " time_coverage_resolution: P1D\n", + " time_coverage_start: 2017-12-31T00:00:00\n", + " title: ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)\n", + " uuid: f8578d30-4051-11eb-8ae0-0cc47a3f8727\n", + " dimensions(sizes): latitude(360), longitude(720), nv(2), time(1)\n", + " variables(dimensions): float32 EXFatemp(time, latitude, longitude), float32 EXFewind(time, latitude, longitude), float32 EXFwspee(time, latitude, longitude), float32 EXFnwind(time, latitude, longitude), float32 latitude_bnds(latitude, nv), float32 EXFpress(time, latitude, longitude), int32 time_bnds(time, nv), float32 EXFaqh(time, latitude, longitude), float32 longitude_bnds(longitude, nv), float32 latitude(latitude), float32 longitude(longitude), float32 nv(nv), int32 time(time)\n", + " groups: \n" + ] + } + ], + "source": [ + "import netCDF4 as nc\n", + "FILE = \"https://opendap.earthdata.nasa.gov/providers/POCLOUD/collections/ECCO%20Atmosphere%20Surface%20Temperature%2C%20Humidity%2C%20Wind%2C%20and%20Pressure%20-%20Daily%20Mean%200.5%20Degree%20(Version%204%20Release%204)/granules/ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_2017-12-31_ECCO_V4r4_latlon_0p50deg\"\n", + "ds = nc.Dataset(FILE, mode=\"r\")\n", + "\n", + "print(ds)" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [], + "source": [ + "ds.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "import sys\n", + "sys.executable" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "'/Users/phoebes/repos/opendap_tutorial_jupyter/venv_python/bin/python'" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "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": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} \ No newline at end of file diff --git a/notebooks/opendap/opendap-subsetting-tutorial.ipynb b/notebooks/opendap/opendap-subsetting-tutorial.ipynb new file mode 100644 index 00000000..273b2e9c --- /dev/null +++ b/notebooks/opendap/opendap-subsetting-tutorial.ipynb @@ -0,0 +1,488 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Subsetting Cloud OPeNDAP Example\n", + "\n", + "One of OPeNDAP's key features is it's subsetting capabilities. It is capable of subsetting by time, space and variable, and is an effective tool for those looking to reduce the amount of gridded data required for research or analysis to a specific region, time, or set of variables. As such, subsetting reduces the amount of data run and allows users to key in on areas of interest.\n", + "\n", + "This example requires preliminary Cloud-OPeNDAP set up before running these examples. For instructions, see credentials.ipynb in this repository." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "import netCDF4 as nc\n", + "OPENDAP_URL = \"https://opendap.earthdata.nasa.gov/providers/POCLOUD/collections/ECCO%20Atmosphere%20Surface%20Temperature%2C%20Humidity%2C%20Wind%2C%20and%20Pressure%20-%20Daily%20Mean%200.5%20Degree%20(Version%204%20Release%204)/granules/ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_2017-12-31_ECCO_V4r4_latlon_0p50deg\"\n", + "ds = nc.Dataset(OPENDAP_URL, mode=\"r\")\n", + "\n", + "print(ds)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "### Dataset Set Up\n", + "Subsetting is based on variable selection. To view the variables in the dataset, run the following command, which will output the variables' names, types, and ranges:" + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ds.variables" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "### Install Libraries\n", + "These examples use xarray and matplot, which are helpful tools for data analysis and computation.\n", + "In your local environment, install ```xarray``` and ```matplotlib``` for the following subsetting plot functionalities." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import xarray as xr" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "### Method 1: Subsetting with xarray\n", + "Subsetting begins by first accessing cloud-enabled OPeNDAP with xarray's ```open_dataset``` function. Create an xarray named ```ecco_ds```. This xarray will later be subsetted into smaller defined tiles. " + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ecco_ds = xr.open_dataset(OPENDAP_URL)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "print(ecco_ds)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "Print out the variables in the dataset:" + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ecco_ds.data_vars" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "Select one of the variables listed above. In this example, `EXFewind` is selected. \n", + "#### Assess the variable:\n", + "View `EXFewind` in more detail and without the global attributes by running: " + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ecco_ds['EXFwspee']" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "#### Plot the entire variable:" + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ecco_ds.EXFwspee.plot()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "#### Subset with defined ranges:\n", + "To subset, we will use xarray's ```isel``` method. This returns a new dataset with each array indexed along the specified dimension(s). These calls extract arrays based on the provided parameters that are read as a set of coordinate indices. For more information, https://docs.xarray.dev/en/stable/generated/xarray.Dataset.isel.html. \n", + "\n", + "In this example, the following ranges are used: latitude (50,100), longitude (300,700)." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ecco_ds.EXFwspee.isel(latitude=slice(50,100),longitude=slice(300,700)).plot()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "output_tile = ecco_ds.isel(latitude=300, time=0).load()\n", + "output_tile.data_vars" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "Use `coords` to view which coordinate values are available to use for our subset plot." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ecco_ds.coords" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "The following plots the subsetted data with windspeed along latitude=300 over time=0 (see the output_tile definition above). " + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "f, axarr = plt.subplots(1, sharex=True,figsize=(8, 8))\n", + "ax = axarr\n", + "ax.plot(ecco_ds['longitude'], output_tile.EXFwspee, color='b')\n", + "ax.set_xlabel('Wind Speed: m s-1')\n", + "ax.set_ylabel('Longitude')\n", + "ax.set_title('Wind Speed vs Longitude (m s-1), Latitude=300')\n", + "ax.grid()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "## Method 2: Subsetting using the Numpy Syntax\n", + "An alternative method is to subset using Numpy's [ ] syntax on ```DataArray```." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "ecco_ds.data_vars" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "wind_speed_arr = ecco_ds.EXFwspee.values\n", + "type(wind_speed_arr)\n", + "wind_speed_arr.shape" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "The shape above (1, 360, 720) aligns with the variable definition (time, latitude, longitude). To plot this using numpy, the variable has to be reduced to a 2-D array. In this example, time is removed since time is the same value for all latitude, longitude values." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "wind_speed_2d = wind_speed_arr[0,:,:]\n", + "wind_speed_2d.shape" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "fig = plt.figure(figsize=(10, 8))\n", + "plt.imshow(wind_speed_2d, origin='lower',cmap='jet')\n", + "plt.colorbar()\n", + "time = ecco_ds.time.values[0]\n", + "plt.title(f'Wind Speed m s-1 for {time}')\n", + "plt.xlabel('latitude')\n", + "plt.ylabel('longitude')" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "To subset, create a 2D variable to plot with defined ranges. In this example, ```EXFwspee``` is subsetted with the following ranges are used: latitude (50,100), longitude (300,700)." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "wind_speed_2d_subset = ecco_ds.EXFwspee[0,50:100,300:700]\n", + "fig = plt.figure(figsize=(10, 8))\n", + "wind_speed_2d_subset.plot()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "wind_speed_1d_subset = ecco_ds.EXFwspee[0,300,:]" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "source": [ + "Trim down ```wind_speed_2_d_subset``` to a 1-D array. In this example, latitude = 300 and longitude is saved." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "wind_speed_1d_subset.shape" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "print(wind_speed_1d_subset)" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [ + "f, axarr = plt.subplots(1, sharex=True,figsize=(8, 8))\n", + "ax = axarr\n", + "ax.plot(ecco_ds['longitude'], wind_speed_1d_subset, color='b')\n", + "ax.set_xlabel('Wind Speed: m s-1')\n", + "ax.set_ylabel('Longitude')\n", + "ax.set_title('Wind Speed vs Longitude (m s-1), Latitude=300')\n", + "ax.grid()" + ], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + } + ], + "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": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} \ No newline at end of file From bf1f6990e3759d76fd79598b884b647eacc5cf71 Mon Sep 17 00:00:00 2001 From: Phoebe Sham Date: Fri, 3 Mar 2023 16:28:40 -0800 Subject: [PATCH 2/5] Remove test statement --- .../opendap-cloud-credentials-tutorial.ipynb | 52 ------------------- 1 file changed, 52 deletions(-) diff --git a/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb b/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb index a66bdaa5..601ce11c 100644 --- a/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb +++ b/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb @@ -338,58 +338,6 @@ "source": [ "ds.close()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "import sys\n", - "sys.executable" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/Users/phoebes/repos/opendap_tutorial_jupyter/venv_python/bin/python'" - ] - }, - "execution_count": 58, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { From 7b985852dbe678de86c43bc73e0524c79871e179 Mon Sep 17 00:00:00 2001 From: Phoebe Sham Date: Fri, 3 Mar 2023 16:40:30 -0800 Subject: [PATCH 3/5] Update subsetting-tutorial with outputs --- .../opendap/opendap-subsetting-tutorial.ipynb | 1328 ++++++++++++++--- 1 file changed, 1109 insertions(+), 219 deletions(-) diff --git a/notebooks/opendap/opendap-subsetting-tutorial.ipynb b/notebooks/opendap/opendap-subsetting-tutorial.ipynb index 273b2e9c..2f872a96 100644 --- a/notebooks/opendap/opendap-subsetting-tutorial.ipynb +++ b/notebooks/opendap/opendap-subsetting-tutorial.ipynb @@ -2,271 +2,1057 @@ "cells": [ { "cell_type": "markdown", + "metadata": {}, "source": [ "# Subsetting Cloud OPeNDAP Example\n", "\n", "One of OPeNDAP's key features is it's subsetting capabilities. It is capable of subsetting by time, space and variable, and is an effective tool for those looking to reduce the amount of gridded data required for research or analysis to a specific region, time, or set of variables. As such, subsetting reduces the amount of data run and allows users to key in on areas of interest.\n", "\n", "This example requires preliminary Cloud-OPeNDAP set up before running these examples. For instructions, see credentials.ipynb in this repository." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], + "execution_count": 1, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "root group (NETCDF3_CLASSIC data model, file format DAP2):\n", + " acknowledgement: This research was carried out by the Jet Propulsion Laboratory, managed by the California Institute of Technology under a contract with the National Aeronautics and Space Administration.\n", + " author: Ian Fenty and Ou Wang\n", + " cdm_data_type: Grid\n", + " comment: Fields provided on a regular lat-lon grid. They have been mapped to the regular lat-lon grid from the original ECCO lat-lon-cap 90 (llc90) native model grid.\n", + " Conventions: CF-1.8, ACDD-1.3\n", + " coordinates: time_bnds latitude_bnds longitude_bnds\n", + " coordinates_comment: Note: the global 'coordinates' attribute describes auxillary coordinates.\n", + " creator_email: ecco-group@mit.edu\n", + " creator_institution: NASA Jet Propulsion Laboratory (JPL)\n", + " creator_name: ECCO Consortium\n", + " creator_type: group\n", + " creator_url: https://ecco-group.org\n", + " date_created: 2020-12-17T02:23:56\n", + " date_issued: 2020-12-17T02:23:56\n", + " date_metadata_modified: 2021-03-15T23:56:30\n", + " date_modified: 2021-03-15T23:56:30\n", + " geospatial_bounds_crs: EPSG:4326\n", + " geospatial_lat_max: 90.0\n", + " geospatial_lat_min: -90.0\n", + " geospatial_lat_resolution: 0.5\n", + " geospatial_lat_units: degrees_north\n", + " geospatial_lon_max: 180.0\n", + " geospatial_lon_min: -180.0\n", + " geospatial_lon_resolution: 0.5\n", + " geospatial_lon_units: degrees_east\n", + " history: Inaugural release of an ECCO Central Estimate solution to PO.DAAC\n", + " id: 10.5067/ECG5D-ATM44\n", + " institution: NASA Jet Propulsion Laboratory (JPL)\n", + " instrument_vocabulary: GCMD instrument keywords\n", + " keywords: EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED, EARTH SCIENCE > OCEANS > OCEAN WINDS > SURFACE WINDS, EARTH SCIENCE > OCEANS > OCEAN PRESSURE > SEA LEVEL PRESSURE, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR INDICATORS > HUMIDITY > SPECIFIC HUMIDITY, EARTH SCIENCE SERVICES > MODELS > EARTH SCIENCE REANALYSES/ASSIMILATION MODELS, EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC TEMPERATURE > SURFACE TEMPERATURE > AIR TEMPERATURE\n", + " keywords_vocabulary: NASA Global Change Master Directory (GCMD) Science Keywords\n", + " license: Public Domain\n", + " metadata_link: https://cmr.earthdata.nasa.gov/search/collections.umm_json?ShortName=ECCO_L4_ATM_STATE_05DEG_DAILY_V4R4\n", + " naming_authority: gov.nasa.jpl\n", + " platform: ERS-1/2, TOPEX/Poseidon, Geosat Follow-On (GFO), ENVISAT, Jason-1, Jason-2, CryoSat-2, SARAL/AltiKa, Jason-3, AVHRR, Aquarius, SSM/I, SSMIS, GRACE, DTU17MDT, Argo, WOCE, GO-SHIP, MEOP, Ice Tethered Profilers (ITP)\n", + " platform_vocabulary: GCMD platform keywords\n", + " processing_level: L4\n", + " product_name: ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_2017-12-31_ECCO_V4r4_latlon_0p50deg.nc\n", + " product_time_coverage_end: 2018-01-01T00:00:00\n", + " product_time_coverage_start: 1992-01-01T12:00:00\n", + " product_version: Version 4, Release 4\n", + " program: NASA Physical Oceanography, Cryosphere, Modeling, Analysis, and Prediction (MAP)\n", + " project: Estimating the Circulation and Climate of the Ocean (ECCO)\n", + " publisher_email: podaac@podaac.jpl.nasa.gov\n", + " publisher_institution: PO.DAAC\n", + " publisher_name: Physical Oceanography Distributed Active Archive Center (PO.DAAC)\n", + " publisher_type: institution\n", + " publisher_url: https://podaac.jpl.nasa.gov\n", + " references: ECCO Consortium, Fukumori, I., Wang, O., Fenty, I., Forget, G., Heimbach, P., & Ponte, R. M. 2020. Synopsis of the ECCO Central Production Global Ocean and Sea-Ice State Estimate (Version 4 Release 4). doi:10.5281/zenodo.3765928\n", + " source: The ECCO V4r4 state estimate was produced by fitting a free-running solution of the MITgcm (checkpoint 66g) to satellite and in situ observational data in a least squares sense using the adjoint method\n", + " standard_name_vocabulary: NetCDF Climate and Forecast (CF) Metadata Convention\n", + " summary: This dataset provides daily-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of a global, nominally 1-degree configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea-ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.\n", + " time_coverage_duration: P1D\n", + " time_coverage_end: 2017-12-31T12:00:00\n", + " time_coverage_resolution: P1D\n", + " time_coverage_start: 2017-12-31T00:00:00\n", + " title: ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)\n", + " uuid: f8578d30-4051-11eb-8ae0-0cc47a3f8727\n", + " dimensions(sizes): latitude(360), longitude(720), nv(2), time(1)\n", + " variables(dimensions): float32 EXFatemp(time, latitude, longitude), float32 EXFewind(time, latitude, longitude), float32 EXFwspee(time, latitude, longitude), float32 EXFnwind(time, latitude, longitude), float32 latitude_bnds(latitude, nv), float32 EXFpress(time, latitude, longitude), int32 time_bnds(time, nv), float32 EXFaqh(time, latitude, longitude), float32 longitude_bnds(longitude, nv), float32 latitude(latitude), float32 longitude(longitude), float32 nv(nv), int32 time(time)\n", + " groups: \n" + ] + } + ], "source": [ "import netCDF4 as nc\n", "OPENDAP_URL = \"https://opendap.earthdata.nasa.gov/providers/POCLOUD/collections/ECCO%20Atmosphere%20Surface%20Temperature%2C%20Humidity%2C%20Wind%2C%20and%20Pressure%20-%20Daily%20Mean%200.5%20Degree%20(Version%204%20Release%204)/granules/ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_2017-12-31_ECCO_V4r4_latlon_0p50deg\"\n", "ds = nc.Dataset(OPENDAP_URL, mode=\"r\")\n", "\n", "print(ds)" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### Dataset Set Up\n", "Subsetting is based on variable selection. To view the variables in the dataset, run the following command, which will output the variables' names, types, and ranges:" - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ds.variables" - ], + "execution_count": 2, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'EXFatemp': \n", + " float32 EXFatemp(time, latitude, longitude)\n", + " _FillValue: 9.96921e+36\n", + " coverage_content_type: modelResult\n", + " long_name: Atmosphere surface (2 m) air temperature \n", + " standard_name: air_temperature\n", + " units: degree_K\n", + " comment: Surface (2 m) air temperature over open water. Note: sum of ERA-Interim surface air temperature and the control adjustment from ocean state estimation.\n", + " coordinates: time\n", + " valid_min: 195.37054443359375\n", + " valid_max: 312.8451232910156\n", + " origname: EXFatemp\n", + " fullnamepath: /EXFatemp\n", + " unlimited dimensions: \n", + " current shape = (1, 360, 720)\n", + " filling off,\n", + " 'EXFewind': \n", + " float32 EXFewind(time, latitude, longitude)\n", + " _FillValue: 9.96921e+36\n", + " coverage_content_type: modelResult\n", + " long_name: Zonal (east-west) wind speed\n", + " standard_name: eastward_wind\n", + " units: m s-1\n", + " comment: Zonal (east-west) component of ocean surface wind. Note: EXFewind is calculated by interpolating the model's x and y components of wind velocity (EXFuwind and EXFvwind) to tracer cell centers and then finding the zonal component of the interpolated vectors. ECCO V4r4 is forced with wind stress (see EXFtaux, EXFtauy), not vector winds + bulk formulae. EXFewind is calculated by converting wind stress to vector wind using bulk formulae.\n", + " coordinates: time\n", + " valid_min: -33.524742126464844\n", + " valid_max: 39.48556900024414\n", + " origname: EXFewind\n", + " fullnamepath: /EXFewind\n", + " unlimited dimensions: \n", + " current shape = (1, 360, 720)\n", + " filling off,\n", + " 'EXFwspee': \n", + " float32 EXFwspee(time, latitude, longitude)\n", + " _FillValue: 9.96921e+36\n", + " coverage_content_type: modelResult\n", + " long_name: Wind speed\n", + " standard_name: wind_speed\n", + " units: m s-1\n", + " comment: 10-m wind speed magnitude (>= 0 ) over open water. Only used for the calculation of air-sea fluxes using bulk formulae. Note: not adjusted by the ocean state estimation and not necesarily consistent with EXFuwind and EXFvwind because EXFuwind and EXFvwind are calculated from EXFtaux and EXFtauy using bulk formulae. EXFwspee != sqrt(EXFuwind**2 + EXFvwind**2.\n", + " coordinates: time\n", + " valid_min: 0.27271032333374023\n", + " valid_max: 45.87086486816406\n", + " origname: EXFwspee\n", + " fullnamepath: /EXFwspee\n", + " unlimited dimensions: \n", + " current shape = (1, 360, 720)\n", + " filling off,\n", + " 'EXFnwind': \n", + " float32 EXFnwind(time, latitude, longitude)\n", + " _FillValue: 9.96921e+36\n", + " coverage_content_type: modelResult\n", + " long_name: Meridional (north-south) wind speed\n", + " standard_name: northward_wind\n", + " units: m s-1\n", + " comment: Meridional (north-south) component of ocean surface wind. Note: EXFnwind is calculated by interpolating the model's x and y components of wind velocity (EXFuwind and EXFvwind) to tracer cell centers and then finding the meridional component of the interpolated vectors. ECCO V4r4 is forced with wind stress (see EXFtaux, EXFtauy), not vector winds + bulk formulae. EXFnwind is calculated by converting wind stress to vector wind using bulk formulae.\n", + " coordinates: time\n", + " valid_min: -30.042686462402344\n", + " valid_max: 33.95014190673828\n", + " origname: EXFnwind\n", + " fullnamepath: /EXFnwind\n", + " unlimited dimensions: \n", + " current shape = (1, 360, 720)\n", + " filling off,\n", + " 'latitude_bnds': \n", + " float32 latitude_bnds(latitude, nv)\n", + " coverage_content_type: coordinate\n", + " long_name: latitude bounds grid cells\n", + " origname: latitude_bnds\n", + " fullnamepath: /latitude_bnds\n", + " unlimited dimensions: \n", + " current shape = (360, 2)\n", + " filling off,\n", + " 'EXFpress': \n", + " float32 EXFpress(time, latitude, longitude)\n", + " _FillValue: 9.96921e+36\n", + " coverage_content_type: modelResult\n", + " long_name: Atmosphere surface pressure\n", + " standard_name: surface_air_pressure\n", + " units: N m-2\n", + " comment: Atmospheric pressure field at sea level. Note: ERA-Interim atmospheric pressure, with air tides removed using a variety of methods. Not adjusted by the ocean state estimation.\n", + " coordinates: time\n", + " valid_min: 92090.3125\n", + " valid_max: 106314.7734375\n", + " origname: EXFpress\n", + " fullnamepath: /EXFpress\n", + " unlimited dimensions: \n", + " current shape = (1, 360, 720)\n", + " filling off,\n", + " 'time_bnds': \n", + " int32 time_bnds(time, nv)\n", + " comment: Start and end times of averaging period.\n", + " coverage_content_type: coordinate\n", + " long_name: time bounds of averaging period\n", + " origname: time_bnds\n", + " fullnamepath: /time_bnds\n", + " unlimited dimensions: \n", + " current shape = (1, 2)\n", + " filling off,\n", + " 'EXFaqh': \n", + " float32 EXFaqh(time, latitude, longitude)\n", + " _FillValue: 9.96921e+36\n", + " coverage_content_type: modelResult\n", + " long_name: Atmosphere surface (2 m) specific humidity \n", + " standard_name: surface_specific_humidity\n", + " units: kg kg-1\n", + " comment: Surface (2 m) specific humidity over open water. Note: sum of ERA-Interim surface specific humidity and the control adjustment from ocean state estimation.\n", + " coordinates: time\n", + " valid_min: -0.0014020215021446347\n", + " valid_max: 0.03014513850212097\n", + " origname: EXFaqh\n", + " fullnamepath: /EXFaqh\n", + " unlimited dimensions: \n", + " current shape = (1, 360, 720)\n", + " filling off,\n", + " 'longitude_bnds': \n", + " float32 longitude_bnds(longitude, nv)\n", + " coverage_content_type: coordinate\n", + " long_name: longitude bounds grid cells\n", + " origname: longitude_bnds\n", + " fullnamepath: /longitude_bnds\n", + " unlimited dimensions: \n", + " current shape = (720, 2)\n", + " filling off,\n", + " 'latitude': \n", + " float32 latitude(latitude)\n", + " axis: Y\n", + " bounds: latitude_bnds\n", + " comment: uniform grid spacing from -89.75 to 89.75 by 0.5\n", + " coverage_content_type: coordinate\n", + " long_name: latitude at grid cell center\n", + " standard_name: latitude\n", + " units: degrees_north\n", + " origname: latitude\n", + " fullnamepath: /latitude\n", + " unlimited dimensions: \n", + " current shape = (360,)\n", + " filling off,\n", + " 'longitude': \n", + " float32 longitude(longitude)\n", + " axis: X\n", + " bounds: longitude_bnds\n", + " comment: uniform grid spacing from -179.75 to 179.75 by 0.5\n", + " coverage_content_type: coordinate\n", + " long_name: longitude at grid cell center\n", + " standard_name: longitude\n", + " units: degrees_east\n", + " origname: longitude\n", + " fullnamepath: /longitude\n", + " unlimited dimensions: \n", + " current shape = (720,)\n", + " filling off,\n", + " 'nv': \n", + " float32 nv(nv)\n", + " unlimited dimensions: \n", + " current shape = (2,)\n", + " filling off,\n", + " 'time': \n", + " int32 time(time)\n", + " axis: T\n", + " bounds: time_bnds\n", + " coverage_content_type: coordinate\n", + " long_name: center time of averaging period\n", + " standard_name: time\n", + " units: hours since 1992-01-01T12:00:00\n", + " calendar: proleptic_gregorian\n", + " origname: time\n", + " fullnamepath: /time\n", + " unlimited dimensions: \n", + " current shape = (1,)\n", + " filling off}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds.variables" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### Install Libraries\n", "These examples use xarray and matplot, which are helpful tools for data analysis and computation.\n", "In your local environment, install ```xarray``` and ```matplotlib``` for the following subsetting plot functionalities." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import xarray as xr" - ], + "execution_count": 3, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import xarray as xr" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### Method 1: Subsetting with xarray\n", "Subsetting begins by first accessing cloud-enabled OPeNDAP with xarray's ```open_dataset``` function. Create an xarray named ```ecco_ds```. This xarray will later be subsetted into smaller defined tiles. " - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ecco_ds = xr.open_dataset(OPENDAP_URL)" - ], + "execution_count": 4, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [], + "source": [ + "ecco_ds = xr.open_dataset(OPENDAP_URL)" + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "print(ecco_ds)" - ], + "execution_count": 5, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Dimensions: (time: 1, latitude: 360, longitude: 720, nv: 2)\n", + "Coordinates:\n", + " latitude_bnds (latitude, nv) float32 ...\n", + " time_bnds (time, nv) datetime64[ns] ...\n", + " longitude_bnds (longitude, nv) float32 ...\n", + " * latitude (latitude) float32 -89.75 -89.25 -88.75 ... 89.25 89.75\n", + " * longitude (longitude) float32 -179.8 -179.2 -178.8 ... 179.2 179.8\n", + " * nv (nv) float32 0.0 1.0\n", + " * time (time) datetime64[ns] 2017-12-31T06:00:00\n", + "Data variables:\n", + " EXFatemp (time, latitude, longitude) float32 ...\n", + " EXFewind (time, latitude, longitude) float32 ...\n", + " EXFwspee (time, latitude, longitude) float32 ...\n", + " EXFnwind (time, latitude, longitude) float32 ...\n", + " EXFpress (time, latitude, longitude) float32 ...\n", + " EXFaqh (time, latitude, longitude) float32 ...\n", + "Attributes: (12/57)\n", + " acknowledgement: This research was carried out by the Jet Pr...\n", + " author: Ian Fenty and Ou Wang\n", + " cdm_data_type: Grid\n", + " comment: Fields provided on a regular lat-lon grid. ...\n", + " Conventions: CF-1.8, ACDD-1.3\n", + " coordinates_comment: Note: the global 'coordinates' attribute de...\n", + " ... ...\n", + " time_coverage_duration: P1D\n", + " time_coverage_end: 2017-12-31T12:00:00\n", + " time_coverage_resolution: P1D\n", + " time_coverage_start: 2017-12-31T00:00:00\n", + " title: ECCO Atmosphere Surface Temperature, Humidi...\n", + " uuid: f8578d30-4051-11eb-8ae0-0cc47a3f8727\n" + ] + } + ], + "source": [ + "print(ecco_ds)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Print out the variables in the dataset:" - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ecco_ds.data_vars" - ], + "execution_count": 6, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Data variables:\n", + " EXFatemp (time, latitude, longitude) float32 ...\n", + " EXFewind (time, latitude, longitude) float32 ...\n", + " EXFwspee (time, latitude, longitude) float32 ...\n", + " EXFnwind (time, latitude, longitude) float32 ...\n", + " EXFpress (time, latitude, longitude) float32 ...\n", + " EXFaqh (time, latitude, longitude) float32 ..." + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ecco_ds.data_vars" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Select one of the variables listed above. In this example, `EXFewind` is selected. \n", "#### Assess the variable:\n", "View `EXFewind` in more detail and without the global attributes by running: " - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ecco_ds['EXFwspee']" - ], + "execution_count": 7, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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<xarray.DataArray 'EXFwspee' (time: 1, latitude: 360, longitude: 720)>\n",
+       "[259200 values with dtype=float32]\n",
+       "Coordinates:\n",
+       "  * latitude   (latitude) float32 -89.75 -89.25 -88.75 ... 88.75 89.25 89.75\n",
+       "  * longitude  (longitude) float32 -179.8 -179.2 -178.8 ... 178.8 179.2 179.8\n",
+       "  * time       (time) datetime64[ns] 2017-12-31T06:00:00\n",
+       "Attributes:\n",
+       "    coverage_content_type:  modelResult\n",
+       "    long_name:              Wind speed\n",
+       "    standard_name:          wind_speed\n",
+       "    units:                  m s-1\n",
+       "    comment:                10-m wind speed magnitude (>= 0 ) over open water...\n",
+       "    valid_min:              0.27271032333374023\n",
+       "    valid_max:              45.87086486816406\n",
+       "    origname:               EXFwspee\n",
+       "    fullnamepath:           /EXFwspee
" + ], + "text/plain": [ + "\n", + "[259200 values with dtype=float32]\n", + "Coordinates:\n", + " * latitude (latitude) float32 -89.75 -89.25 -88.75 ... 88.75 89.25 89.75\n", + " * longitude (longitude) float32 -179.8 -179.2 -178.8 ... 178.8 179.2 179.8\n", + " * time (time) datetime64[ns] 2017-12-31T06:00:00\n", + "Attributes:\n", + " coverage_content_type: modelResult\n", + " long_name: Wind speed\n", + " standard_name: wind_speed\n", + " units: m s-1\n", + " comment: 10-m wind speed magnitude (>= 0 ) over open water...\n", + " valid_min: 0.27271032333374023\n", + " valid_max: 45.87086486816406\n", + " origname: EXFwspee\n", + " fullnamepath: /EXFwspee" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ecco_ds['EXFwspee']" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Plot the entire variable:" - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ecco_ds.EXFwspee.plot()" - ], + "execution_count": 8, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ecco_ds.EXFwspee.plot()" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Subset with defined ranges:\n", "To subset, we will use xarray's ```isel``` method. This returns a new dataset with each array indexed along the specified dimension(s). These calls extract arrays based on the provided parameters that are read as a set of coordinate indices. For more information, https://docs.xarray.dev/en/stable/generated/xarray.Dataset.isel.html. \n", "\n", "In this example, the following ranges are used: latitude (50,100), longitude (300,700)." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ecco_ds.EXFwspee.isel(latitude=slice(50,100),longitude=slice(300,700)).plot()" - ], + "execution_count": 9, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ecco_ds.EXFwspee.isel(latitude=slice(50,100),longitude=slice(300,700)).plot()" + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "output_tile = ecco_ds.isel(latitude=300, time=0).load()\n", - "output_tile.data_vars" - ], + "execution_count": 10, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Data variables:\n", + " EXFatemp (longitude) float32 270.9 270.9 271.0 271.0 ... 270.4 270.8 270.8\n", + " EXFewind (longitude) float32 -7.5 -7.5 -7.743 ... -6.907 -7.207 -7.207\n", + " EXFwspee (longitude) float32 14.18 14.18 14.43 14.43 ... 14.37 14.16 14.16\n", + " EXFnwind (longitude) float32 -12.15 -12.15 -12.35 ... -12.42 -12.17 -12.17\n", + " EXFpress (longitude) float32 1.008e+05 1.008e+05 ... 1.009e+05 1.009e+05\n", + " EXFaqh (longitude) float32 0.002558 0.002558 ... 0.002547 0.002547" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "output_tile = ecco_ds.isel(latitude=300, time=0).load()\n", + "output_tile.data_vars" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Use `coords` to view which coordinate values are available to use for our subset plot." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ecco_ds.coords" - ], + "execution_count": 11, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Coordinates:\n", + " latitude_bnds (latitude, nv) float32 ...\n", + " time_bnds (time, nv) datetime64[ns] ...\n", + " longitude_bnds (longitude, nv) float32 -180.0 -179.5 -179.5 ... 179.5 180.0\n", + " * latitude (latitude) float32 -89.75 -89.25 -88.75 ... 89.25 89.75\n", + " * longitude (longitude) float32 -179.8 -179.2 -178.8 ... 179.2 179.8\n", + " * nv (nv) float32 0.0 1.0\n", + " * time (time) datetime64[ns] 2017-12-31T06:00:00" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ecco_ds.coords" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "The following plots the subsetted data with windspeed along latitude=300 over time=0 (see the output_tile definition above). " - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], + "execution_count": 12, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "f, axarr = plt.subplots(1, sharex=True,figsize=(8, 8))\n", "ax = axarr\n", @@ -275,82 +1061,134 @@ "ax.set_ylabel('Longitude')\n", "ax.set_title('Wind Speed vs Longitude (m s-1), Latitude=300')\n", "ax.grid()" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## Method 2: Subsetting using the Numpy Syntax\n", "An alternative method is to subset using Numpy's [ ] syntax on ```DataArray```." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "ecco_ds.data_vars" - ], + "execution_count": 13, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Data variables:\n", + " EXFatemp (time, latitude, longitude) float32 ...\n", + " EXFewind (time, latitude, longitude) float32 ...\n", + " EXFwspee (time, latitude, longitude) float32 ...\n", + " EXFnwind (time, latitude, longitude) float32 ...\n", + " EXFpress (time, latitude, longitude) float32 ...\n", + " EXFaqh (time, latitude, longitude) float32 ..." + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ecco_ds.data_vars" + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "wind_speed_arr = ecco_ds.EXFwspee.values\n", - "type(wind_speed_arr)\n", - "wind_speed_arr.shape" - ], + "execution_count": 14, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(1, 360, 720)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wind_speed_arr = ecco_ds.EXFwspee.values\n", + "type(wind_speed_arr)\n", + "wind_speed_arr.shape" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "The shape above (1, 360, 720) aligns with the variable definition (time, latitude, longitude). To plot this using numpy, the variable has to be reduced to a 2-D array. In this example, time is removed since time is the same value for all latitude, longitude values." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "wind_speed_2d = wind_speed_arr[0,:,:]\n", - "wind_speed_2d.shape" - ], + "execution_count": 15, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(360, 720)" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wind_speed_2d = wind_speed_arr[0,:,:]\n", + "wind_speed_2d.shape" + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], + "execution_count": 16, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'longitude')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig = plt.figure(figsize=(10, 8))\n", "plt.imshow(wind_speed_2d, origin='lower',cmap='jet')\n", @@ -359,94 +1197,152 @@ "plt.title(f'Wind Speed m s-1 for {time}')\n", "plt.xlabel('latitude')\n", "plt.ylabel('longitude')" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "To subset, create a 2D variable to plot with defined ranges. In this example, ```EXFwspee``` is subsetted with the following ranges are used: latitude (50,100), longitude (300,700)." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "wind_speed_2d_subset = ecco_ds.EXFwspee[0,50:100,300:700]\n", - "fig = plt.figure(figsize=(10, 8))\n", - "wind_speed_2d_subset.plot()" - ], + "execution_count": 17, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "wind_speed_2d_subset = ecco_ds.EXFwspee[0,50:100,300:700]\n", + "fig = plt.figure(figsize=(10, 8))\n", + "wind_speed_2d_subset.plot()" + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "wind_speed_1d_subset = ecco_ds.EXFwspee[0,300,:]" - ], + "execution_count": 18, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [], + "source": [ + "wind_speed_1d_subset = ecco_ds.EXFwspee[0,300,:]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Trim down ```wind_speed_2_d_subset``` to a 1-D array. In this example, latitude = 300 and longitude is saved." - ], - "metadata": { - "collapsed": false - } + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "wind_speed_1d_subset.shape" - ], + "execution_count": 19, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(720,)" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "wind_speed_1d_subset.shape" + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [ - "print(wind_speed_1d_subset)" - ], + "execution_count": 20, "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "array([14.181836, 14.181836, 14.428396, ..., 14.36692 , 14.15819 , 14.15819 ],\n", + " dtype=float32)\n", + "Coordinates:\n", + " latitude float32 60.25\n", + " * longitude (longitude) float32 -179.8 -179.2 -178.8 ... 178.8 179.2 179.8\n", + " time datetime64[ns] 2017-12-31T06:00:00\n", + "Attributes:\n", + " coverage_content_type: modelResult\n", + " long_name: Wind speed\n", + " standard_name: wind_speed\n", + " units: m s-1\n", + " comment: 10-m wind speed magnitude (>= 0 ) over open water...\n", + " valid_min: 0.27271032333374023\n", + " valid_max: 45.87086486816406\n", + " origname: EXFwspee\n", + " fullnamepath: /EXFwspee\n" + ] + } + ], + "source": [ + "print(wind_speed_1d_subset)" + ] }, { "cell_type": "code", - "execution_count": null, - "outputs": [], + "execution_count": 21, + "metadata": { + "pycharm": { + "name": "#%%\n" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "f, axarr = plt.subplots(1, sharex=True,figsize=(8, 8))\n", "ax = axarr\n", @@ -455,13 +1351,7 @@ "ax.set_ylabel('Longitude')\n", "ax.set_title('Wind Speed vs Longitude (m s-1), Latitude=300')\n", "ax.grid()" - ], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + ] } ], "metadata": { @@ -485,4 +1375,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} \ No newline at end of file +} From 948fb8bdc361b079c323f70f4024cb9018489c12 Mon Sep 17 00:00:00 2001 From: Phoebe Sham Date: Fri, 17 Mar 2023 15:07:35 -0700 Subject: [PATCH 4/5] Add tutorial template summaries to notebook and provide additional information on setup files --- .../opendap-cloud-credentials-tutorial.ipynb | 62 ++++++++++++++++- .../opendap/opendap-subsetting-tutorial.ipynb | 69 ++++++++++++++++++- 2 files changed, 128 insertions(+), 3 deletions(-) diff --git a/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb b/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb index 601ce11c..056b3a28 100644 --- a/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb +++ b/notebooks/opendap/opendap-cloud-credentials-tutorial.ipynb @@ -7,6 +7,66 @@ "# OPeNDAP Cloud Set Up" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### *Author: Phoebe Sham, NASA JPL PO.DAAC*" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Summary " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This tutorial provides an overview of OPeNDAP-in-the-cloud set up on your local machine. With this set up, access to OPeNDAP in the cloud is enabled which provides a single interface to all Earthdata cloud data with OPeNDAP services. As a result, users will be able to call the OPeNDAP API to access subsetted data, without requiring direct downloads." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Requirements " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Computation environment\n", + "This tutorial can be run in a local computation environment (e.g. laptop, server) on your local machine.\n", + "\n", + "## 2. Earthdata Login\n", + "An Earthdata Login account is required to access data, as well as discover restricted data, from the NASA Earthdata system. To access NASA data, you need Earthdata Login. Please visit https://urs.earthdata.nasa.gov to register and manage your Earthdata Login account. This account is free to create and only takes a moment to set up.\n", + "\n", + "## 3. netrc File\n", + "You will need a .netrc file containing your NASA Earthdata Login credentials in order to execute the notebooks. A .netrc file can be created manually within a text editor and saved to your home directory. For additional information: \n", + "- Refer to [Authentication for NASA Earthdata tutorial](https://urs.earthdata.nasa.gov/). \n", + "- See set up steps for ~/.netrc below.\n", + "\n", + "## 4. urs_cookies File\n", + "Local cookie files are used to persist sessions across cURL/Wget calls. For this tutorial, urs_cookies will allow you to access any URS-protected data file. See set up steps for ~/.urs_cookies below.\n", + "\n", + "## 5. dodsrc File\n", + "DODS client-side configuration file (.dodsrc) is used to configure how clients cache responses and how they interact with proxy servers. When configured locally, the dodsrc file in this tutorial will define the cookies and cache behavior when using OPeNDAP API calls. See set up steps for ~/.dodsrc file below." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Learning Objectives\n", + "The objectives of this tutorial are to\n", + "- set up the user's connection to their urs.earthdata.nasa.gov accounts\n", + "- call the OPeNDAP API to access subsetted data, without requiring direct downloads" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -361,4 +421,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} \ No newline at end of file +} diff --git a/notebooks/opendap/opendap-subsetting-tutorial.ipynb b/notebooks/opendap/opendap-subsetting-tutorial.ipynb index 2f872a96..c3ebf730 100644 --- a/notebooks/opendap/opendap-subsetting-tutorial.ipynb +++ b/notebooks/opendap/opendap-subsetting-tutorial.ipynb @@ -4,13 +4,78 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Subsetting Cloud OPeNDAP Example\n", + "# Subsetting Cloud OPeNDAP Example" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### *Author: Phoebe Sham, NASA JPL PO.DAAC*" + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Summary\n", "\n", "One of OPeNDAP's key features is it's subsetting capabilities. It is capable of subsetting by time, space and variable, and is an effective tool for those looking to reduce the amount of gridded data required for research or analysis to a specific region, time, or set of variables. As such, subsetting reduces the amount of data run and allows users to key in on areas of interest.\n", "\n", "This example requires preliminary Cloud-OPeNDAP set up before running these examples. For instructions, see credentials.ipynb in this repository." + ], + "metadata": { + "collapsed": false + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "code", + "execution_count": null, + "outputs": [], + "source": [], + "metadata": { + "collapsed": false, + "pycharm": { + "name": "#%%\n" + } + } + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "import netCDF4 as nc\n", + "OPENDAP_URL = \"https://opendap.earthdata.nasa.gov/providers/POCLOUD/collections/ECCO%20Atmosphere%20Surface%20Temperature%2C%20Humidity%2C%20Wind%2C%20and%20Pressure%20-%20Daily%20Mean%200.5%20Degree%20(Version%204%20Release%204)/granules/ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_2017-12-31_ECCO_V4r4_latlon_0p50deg\"\n", + "ds = nc.Dataset(OPENDAP_URL, mode=\"r\")\n", + "\n", + "print(ds)" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": 1, @@ -1375,4 +1440,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} +} \ No newline at end of file From f676db29837941c103e17b60ead18faa82527b1d Mon Sep 17 00:00:00 2001 From: Phoebe Sham Date: Wed, 22 Mar 2023 10:45:53 -0700 Subject: [PATCH 5/5] Add tutorial template to opendap subsetting tutorial --- .../opendap/opendap-subsetting-tutorial.ipynb | 68 +++++++------------ 1 file changed, 25 insertions(+), 43 deletions(-) diff --git a/notebooks/opendap/opendap-subsetting-tutorial.ipynb b/notebooks/opendap/opendap-subsetting-tutorial.ipynb index c3ebf730..20b12086 100644 --- a/notebooks/opendap/opendap-subsetting-tutorial.ipynb +++ b/notebooks/opendap/opendap-subsetting-tutorial.ipynb @@ -16,66 +16,48 @@ }, { "cell_type": "markdown", + "metadata": {}, "source": [ "# Summary\n", "\n", - "One of OPeNDAP's key features is it's subsetting capabilities. It is capable of subsetting by time, space and variable, and is an effective tool for those looking to reduce the amount of gridded data required for research or analysis to a specific region, time, or set of variables. As such, subsetting reduces the amount of data run and allows users to key in on areas of interest.\n", - "\n", - "This example requires preliminary Cloud-OPeNDAP set up before running these examples. For instructions, see credentials.ipynb in this repository." - ], - "metadata": { - "collapsed": false - } + "One of OPeNDAP's key features is it's subsetting capabilities. It is capable of subsetting by time, space and variable, and is an effective tool for those looking to reduce the amount of gridded data required for research or analysis to a specific region, time, or set of variables. As such, subsetting reduces the amount of data run and allows users to key in on areas of interest.\n" + ] }, { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [], - "metadata": { - "collapsed": false, - "pycharm": { - "name": "#%%\n" - } - } + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Learning Objectives\n", + "The objectives of this tutorial are to provide\n", + "* foundational Cloud OPeNDAP data analysis and plots\n", + "* examples of subsetting Cloud OPeNDAP using xarray\n", + "* examplesSubset Cloud OPeNDAP using numpy" + ] }, { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [], + "cell_type": "markdown", "metadata": { - "collapsed": false, "pycharm": { "name": "#%%\n" } - } + }, + "source": [ + "# Requirements\n", + "This example requires preliminary Cloud-OPeNDAP set up before running these examples. For instructions, see credentials.ipynb in this repository. These instructions are essential for setting up your \n", + "1. computation environment\n", + "2. earthdata login\n", + "3. netrc file\n", + "4. urs_cookies\n", + "5. dodsrc file" + ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "import netCDF4 as nc\n", - "OPENDAP_URL = \"https://opendap.earthdata.nasa.gov/providers/POCLOUD/collections/ECCO%20Atmosphere%20Surface%20Temperature%2C%20Humidity%2C%20Wind%2C%20and%20Pressure%20-%20Daily%20Mean%200.5%20Degree%20(Version%204%20Release%204)/granules/ATM_SURFACE_TEMP_HUM_WIND_PRES_day_mean_2017-12-31_ECCO_V4r4_latlon_0p50deg\"\n", - "ds = nc.Dataset(OPENDAP_URL, mode=\"r\")\n", - "\n", - "print(ds)" + "Confirm your environment is set up correctly by running the script below. These lines must run successfully to proceed with the subsetting examples. " ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "code", "execution_count": 1, @@ -1440,4 +1422,4 @@ }, "nbformat": 4, "nbformat_minor": 1 -} \ No newline at end of file +}