climpred_test.ipynb

{
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   "id": "88081b2a-a7d9-4ed5-a343-f52a4c7e2d4b",
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   "source": [
    "#!pip install climpred==2.2.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93730a02-2610-4e80-b2a4-4d8a512e2f2d",
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   "source": [
    "#!pip install numpy==1.22"
   ]
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  {
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   "id": "c0015b78-1e1a-45f0-b1fe-e387e25e9e18",
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   "outputs": [],
   "source": [
    "#!pip install xclim"
   ]
  },
  {
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   "execution_count": 3,
   "id": "cdd055a8-8c8a-41da-9fe7-f7a72326ca7e",
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   "outputs": [],
   "source": [
    "#!pip install bias_correction"
   ]
  },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning: ecCodes 2.21.0 or higher is recommended. You are running version 2.16.0\n"
     ]
    }
   ],
   "source": [
    "import climpred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "7e5910c8-dc3e-4be3-b2d6-f91eb0de489e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f1e3db4c-ab02-4b93-a9ef-b5d1cf769f43",
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   "outputs": [],
   "source": [
    "#climpred.show_versions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2cd1ada8-f221-4b99-b7d7-e530c7b3ca71",
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   "outputs": [],
   "source": []
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   "cell_type": "code",
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   "id": "27e1d1ca-795f-4d17-9846-0ec1c5652a83",
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   "outputs": [],
   "source": [
    "obs = xr.open_dataset(\"/data/volume_2/observational/preprocessed/chirps_tp_2000-2020_4weekly_0.25deg_africa.nc\", use_cftime=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "42fdf735-89dc-4513-bb10-b4b5a3f6d11f",
   "metadata": {},
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:                        (latitude: 292, longitude: 278,\n",
       "                                    valid_time: 1113)\n",
       "Coordinates:\n",
       "  * latitude                       (latitude) float64 -35.38 -35.12 ... 37.38\n",
       "  * longitude                      (longitude) float64 -17.88 -17.62 ... 51.38\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, latitude, longitude) float32 ...</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-7e2d3161-3f79-43d1-8864-4fd951bdad86' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e2d3161-3f79-43d1-8864-4fd951bdad86' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 292</li><li><span class='xr-has-index'>longitude</span>: 278</li><li><span class='xr-has-index'>valid_time</span>: 1113</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-73664d75-d333-486b-b13b-36e718701a52' class='xr-section-summary-in' type='checkbox'  checked><label for='section-73664d75-d333-486b-b13b-36e718701a52' class='xr-section-summary' >Coordinates: <span>(3)</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 class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-35.38 -35.12 ... 37.12 37.38</div><input id='attrs-3a0c0bb6-9163-479d-8b26-b41df4d980ae' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3a0c0bb6-9163-479d-8b26-b41df4d980ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5563bba5-07db-4586-888f-63a015ff895f' class='xr-var-data-in' type='checkbox'><label for='data-5563bba5-07db-4586-888f-63a015ff895f' 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'></dl></div><div class='xr-var-data'><pre>array([-35.375, -35.125, -34.875, ...,  36.875,  37.125,  37.375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-17.88 -17.62 ... 51.12 51.38</div><input id='attrs-2bd614be-2667-4740-bb27-001f3a572987' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2bd614be-2667-4740-bb27-001f3a572987' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-05d77705-8c9b-4118-a525-5fde414594bc' class='xr-var-data-in' type='checkbox'><label for='data-05d77705-8c9b-4118-a525-5fde414594bc' 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'></dl></div><div class='xr-var-data'><pre>array([-17.875, -17.625, -17.375, ...,  50.875,  51.125,  51.375])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2021-01-...</div><input id='attrs-f2a73d6a-f496-4261-ab97-ac645a9e0d6f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f2a73d6a-f496-4261-ab97-ac645a9e0d6f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3d8bf53a-4344-4125-a107-330304aefeb0' class='xr-var-data-in' type='checkbox'><label for='data-3d8bf53a-4344-4125-a107-330304aefeb0' 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'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f642b1bf-42fc-48b9-981f-755f6767aa6b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-f642b1bf-42fc-48b9-981f-755f6767aa6b' class='xr-section-summary' >Data variables: <span>(1)</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>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(valid_time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2181d0bc-31f2-4a8f-a5a8-7b9f3dee618f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2181d0bc-31f2-4a8f-a5a8-7b9f3dee618f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06da3f63-2901-4e95-bc69-64afb8ead06d' class='xr-var-data-in' type='checkbox'><label for='data-06da3f63-2901-4e95-bc69-64afb8ead06d' 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>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>time_step :</span></dt><dd>4_week_accumulation</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>[90348888 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-afc6b923-c968-43ba-bf66-c682d6fcf836' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-afc6b923-c968-43ba-bf66-c682d6fcf836' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                        (latitude: 292, longitude: 278,\n",
       "                                    valid_time: 1113)\n",
       "Coordinates:\n",
       "  * latitude                       (latitude) float64 -35.38 -35.12 ... 37.38\n",
       "  * longitude                      (longitude) float64 -17.88 -17.62 ... 51.38\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "obs # metadata missing # dataarray/variable name missing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "50b37771-9381-4b9b-bc7c-f8c0d879b81a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f3415964be0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "obs.isel(valid_time=-1).to_array().plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67ee1b7f-c8a2-42be-8ce3-3c759a5a1e0e",
   "metadata": {},
   "source": [
    "`climpred` observations requires dimension `time`: https://climpred.readthedocs.io/en/stable/setting-up-data.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1a6e265d-4a2c-4ee5-a7fa-53f064280616",
   "metadata": {},
   "outputs": [],
   "source": [
    "obs = obs.rename({\"valid_time\":\"time\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "274e9b2f-f189-4e8e-8ef5-610af0113fca",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e37fd8e8-2fb6-471e-ad30-e38bf86cd187",
   "metadata": {},
   "outputs": [],
   "source": [
    "init = xr.open_dataset(\"/data/volume_2/subseasonal/ecmwf/aggregated/hindcast/ecmwf-hindcast-tp-week3456.nc\", use_cftime=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fcf694e5-0b44-41bd-ada4-1a34a0888bcd",
   "metadata": {},
   "outputs": [
    {
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       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".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:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, valid_time: 1060)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, realization, latitude, longitude) float32 ...</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-904a92ed-1cfb-473b-9c03-d1fd0a550214' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-904a92ed-1cfb-473b-9c03-d1fd0a550214' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>realization</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 121</li><li><span class='xr-has-index'>longitude</span>: 240</li><li><span class='xr-has-index'>valid_time</span>: 1060</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-8feec4a3-794e-4eff-a9a5-be5ff107dfcb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8feec4a3-794e-4eff-a9a5-be5ff107dfcb' 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 class='xr-has-index'>realization</span></div><div class='xr-var-dims'>(realization)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-fff7c7c0-3b4e-4feb-b8fa-614a37ae7506' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fff7c7c0-3b4e-4feb-b8fa-614a37ae7506' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1cd2e6a0-9604-40c1-8a2a-34c87a8e7f83' class='xr-var-data-in' type='checkbox'><label for='data-1cd2e6a0-9604-40c1-8a2a-34c87a8e7f83' 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>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 88.5 87.0 ... -88.5 -90.0</div><input id='attrs-f6cf51dd-1cde-4888-a1fb-a3881c58339e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6cf51dd-1cde-4888-a1fb-a3881c58339e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f34881f3-565b-47ef-b61f-c3b9239ae460' class='xr-var-data-in' type='checkbox'><label for='data-f34881f3-565b-47ef-b61f-c3b9239ae460' 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>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  88.5,  87. ,  85.5,  84. ,  82.5,  81. ,  79.5,  78. ,  76.5,\n",
       "        75. ,  73.5,  72. ,  70.5,  69. ,  67.5,  66. ,  64.5,  63. ,  61.5,\n",
       "        60. ,  58.5,  57. ,  55.5,  54. ,  52.5,  51. ,  49.5,  48. ,  46.5,\n",
       "        45. ,  43.5,  42. ,  40.5,  39. ,  37.5,  36. ,  34.5,  33. ,  31.5,\n",
       "        30. ,  28.5,  27. ,  25.5,  24. ,  22.5,  21. ,  19.5,  18. ,  16.5,\n",
       "        15. ,  13.5,  12. ,  10.5,   9. ,   7.5,   6. ,   4.5,   3. ,   1.5,\n",
       "         0. ,  -1.5,  -3. ,  -4.5,  -6. ,  -7.5,  -9. , -10.5, -12. , -13.5,\n",
       "       -15. , -16.5, -18. , -19.5, -21. , -22.5, -24. , -25.5, -27. , -28.5,\n",
       "       -30. , -31.5, -33. , -34.5, -36. , -37.5, -39. , -40.5, -42. , -43.5,\n",
       "       -45. , -46.5, -48. , -49.5, -51. , -52.5, -54. , -55.5, -57. , -58.5,\n",
       "       -60. , -61.5, -63. , -64.5, -66. , -67.5, -69. , -70.5, -72. , -73.5,\n",
       "       -75. , -76.5, -78. , -79.5, -81. , -82.5, -84. , -85.5, -87. , -88.5,\n",
       "       -90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 ... 355.5 357.0 358.5</div><input id='attrs-9f9fa447-888f-457a-8293-51311353c082' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f9fa447-888f-457a-8293-51311353c082' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3fdbdf3-0fda-4d3a-bbb4-cebbab5f02be' class='xr-var-data-in' type='checkbox'><label for='data-a3fdbdf3-0fda-4d3a-bbb4-cebbab5f02be' 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>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   1.5,   3. , ..., 355.5, 357. , 358.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>valid_time</span></div><div class='xr-var-dims'>(valid_time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-a7b10db1-9a9c-4f7f-b416-6fd1843bbe42' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a7b10db1-9a9c-4f7f-b416-6fd1843bbe42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bedbc171-f7b4-426f-9fc2-f969c7ae59b8' class='xr-var-data-in' type='checkbox'><label for='data-bedbc171-f7b4-426f-9fc2-f969c7ae59b8' 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'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-96d42e6d-dd28-489d-bf60-1192beac7e85' class='xr-section-summary-in' type='checkbox'  checked><label for='section-96d42e6d-dd28-489d-bf60-1192beac7e85' class='xr-section-summary' >Data variables: <span>(1)</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>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(valid_time, realization, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6cd8ac92-90b2-45f6-84ee-f4057e50b658' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6cd8ac92-90b2-45f6-84ee-f4057e50b658' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed9aee02-f7e5-4008-b7b3-17fa3b33289a' class='xr-var-data-in' type='checkbox'><label for='data-ed9aee02-f7e5-4008-b7b3-17fa3b33289a' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[338606400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-eccd469f-acf5-4d97-963e-7d71f27985b0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eccd469f-acf5-4d97-963e-7d71f27985b0' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, valid_time: 1060)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * valid_time                     (valid_time) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (valid_time, realization, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "init"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "71a6ff10-dc1d-43bd-9675-014e21abf271",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7f341408fbb0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "init.isel(realization=0,valid_time=-1).to_array().plot(robust=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f0c6beb-f689-46ef-a5f7-4ac863d2c119",
   "metadata": {},
   "source": [
    "`climpred` requires dimensions `init` as `forecast_reference_time` and `lead` as `forecast_period`: https://climpred.readthedocs.io/en/stable/setting-up-data.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "958e2ab1-7d2b-44c4-a280-60e5f220f712",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "lead = pd.Timedelta(\"14 days\")\n",
    "# drop valid_time which gets recreated by HindcastEnsemble\n",
    "init = init.assign_coords(lead=[lead], init=init.valid_time-lead).swap_dims({\"valid_time\":\"init\"}).drop(\"valid_time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c864248d-39b8-499a-92f3-b65a007c97e4",
   "metadata": {},
   "outputs": [
    {
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       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".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:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, init: 1060, lead: 1)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * lead                           (lead) timedelta64[ns] 14 days\n",
       "  * init                           (init) object 2000-01-03 00:00:00 ... 2020...\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (init, realization, latitude, longitude) float32 ...</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-7214673b-8107-4f14-aae1-ba43ea98c654' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7214673b-8107-4f14-aae1-ba43ea98c654' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>realization</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 121</li><li><span class='xr-has-index'>longitude</span>: 240</li><li><span class='xr-has-index'>init</span>: 1060</li><li><span class='xr-has-index'>lead</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-1fcb319c-37fc-4f13-ae4c-01ce221fe46c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1fcb319c-37fc-4f13-ae4c-01ce221fe46c' class='xr-section-summary' >Coordinates: <span>(5)</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 class='xr-has-index'>realization</span></div><div class='xr-var-dims'>(realization)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-6e7b115c-812a-4da4-9970-451c45a55f45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e7b115c-812a-4da4-9970-451c45a55f45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f39c98ea-7f37-4c7d-95f1-31604202aff6' class='xr-var-data-in' type='checkbox'><label for='data-f39c98ea-7f37-4c7d-95f1-31604202aff6' 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>ensemble member numerical id</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>90.0 88.5 87.0 ... -88.5 -90.0</div><input id='attrs-b4981f60-897e-446d-b18b-2ca4c787d118' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4981f60-897e-446d-b18b-2ca4c787d118' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96a0f84a-cd6f-4faa-b9f2-89c3162ebc64' class='xr-var-data-in' type='checkbox'><label for='data-96a0f84a-cd6f-4faa-b9f2-89c3162ebc64' 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>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  88.5,  87. ,  85.5,  84. ,  82.5,  81. ,  79.5,  78. ,  76.5,\n",
       "        75. ,  73.5,  72. ,  70.5,  69. ,  67.5,  66. ,  64.5,  63. ,  61.5,\n",
       "        60. ,  58.5,  57. ,  55.5,  54. ,  52.5,  51. ,  49.5,  48. ,  46.5,\n",
       "        45. ,  43.5,  42. ,  40.5,  39. ,  37.5,  36. ,  34.5,  33. ,  31.5,\n",
       "        30. ,  28.5,  27. ,  25.5,  24. ,  22.5,  21. ,  19.5,  18. ,  16.5,\n",
       "        15. ,  13.5,  12. ,  10.5,   9. ,   7.5,   6. ,   4.5,   3. ,   1.5,\n",
       "         0. ,  -1.5,  -3. ,  -4.5,  -6. ,  -7.5,  -9. , -10.5, -12. , -13.5,\n",
       "       -15. , -16.5, -18. , -19.5, -21. , -22.5, -24. , -25.5, -27. , -28.5,\n",
       "       -30. , -31.5, -33. , -34.5, -36. , -37.5, -39. , -40.5, -42. , -43.5,\n",
       "       -45. , -46.5, -48. , -49.5, -51. , -52.5, -54. , -55.5, -57. , -58.5,\n",
       "       -60. , -61.5, -63. , -64.5, -66. , -67.5, -69. , -70.5, -72. , -73.5,\n",
       "       -75. , -76.5, -78. , -79.5, -81. , -82.5, -84. , -85.5, -87. , -88.5,\n",
       "       -90. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 ... 355.5 357.0 358.5</div><input id='attrs-be18d2cc-17cf-4918-9b3d-ff6ec07a35ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be18d2cc-17cf-4918-9b3d-ff6ec07a35ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ccb0fd2f-ad22-453e-ac40-7bcd8654b810' class='xr-var-data-in' type='checkbox'><label for='data-ccb0fd2f-ad22-453e-ac40-7bcd8654b810' 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>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   1.5,   3. , ..., 355.5, 357. , 358.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lead</span></div><div class='xr-var-dims'>(lead)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>14 days</div><input id='attrs-9280a2a1-86eb-4295-9806-0746e74a99d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9280a2a1-86eb-4295-9806-0746e74a99d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f3ad0b2e-0d04-43a4-8505-cb8aaa08751a' class='xr-var-data-in' type='checkbox'><label for='data-f3ad0b2e-0d04-43a4-8505-cb8aaa08751a' 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'></dl></div><div class='xr-var-data'><pre>array([1209600000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-03 00:00:00 ... 2020-01-...</div><input id='attrs-f77d2f05-3b41-473f-8ea7-543623d17825' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f77d2f05-3b41-473f-8ea7-543623d17825' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3fd9e77-0fcf-478f-83ae-297480e29538' class='xr-var-data-in' type='checkbox'><label for='data-b3fd9e77-0fcf-478f-83ae-297480e29538' 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'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-32366f3e-73ff-44cf-a057-1321ed5f6630' class='xr-section-summary-in' type='checkbox'  checked><label for='section-32366f3e-73ff-44cf-a057-1321ed5f6630' class='xr-section-summary' >Data variables: <span>(1)</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>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(init, realization, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7c7adc89-fba6-49a5-aaa9-ae4e08f76543' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c7adc89-fba6-49a5-aaa9-ae4e08f76543' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-476a7aa9-7cb9-4ade-b521-51f6d50b12d5' class='xr-var-data-in' type='checkbox'><label for='data-476a7aa9-7cb9-4ade-b521-51f6d50b12d5' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[338606400 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e8028b5a-2b62-4ec9-8e35-412d2dd81d2f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e8028b5a-2b62-4ec9-8e35-412d2dd81d2f' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                        (realization: 11, latitude: 121,\n",
       "                                    longitude: 240, init: 1060, lead: 1)\n",
       "Coordinates:\n",
       "  * realization                    (realization) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 90.0 88.5 ... -88.5 -90.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 ... 357.0 358.5\n",
       "  * lead                           (lead) timedelta64[ns] 14 days\n",
       "  * init                           (init) object 2000-01-03 00:00:00 ... 2020...\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (init, realization, latitude, longitude) float32 ..."
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "init "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "73337433-68f7-4910-8838-f91c07ac42c6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# subselect africa\n",
    "init = init.sel(longitude=slice(0,52),latitude=slice(38,-36)) #  lat -36,38 should have worked but didnt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "89d8bbc6-b86a-4d34-96b8-38d07263a6c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# interpolate on same grid\n",
    "# init = init.interp_like(obs) # all 0.25 deg\n",
    "obs = obs.interp_like(init).astype(\"float32\") # all 1.5 deg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "8f39679a-0f49-4271-b844-a6d9bb9ed2a7",
   "metadata": {},
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    {
     "name": "stderr",
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     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/climpred/checks.py:202: UserWarning: Did not find dimension \"member\", but renamed dimension realization with CF-complying standard_name \"realization\" to member.\n",
      "  warnings.warn(\n",
      "/home/aspring/.local/lib/python3.8/site-packages/xarray/coding/times.py:360: FutureWarning: Index.ravel returning ndarray is deprecated; in a future version this will return a view on self.\n",
      "  sample = dates.ravel()[0]\n"
     ]
    }
   ],
   "source": [
    "he = climpred.HindcastEnsemble(init).add_observations(obs)"
   ]
  },
  {
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   "execution_count": 16,
   "id": "b841ddf9-6a97-4ab2-a9a6-21b1b6e42d71",
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       "</style><pre class='xr-text-repr-fallback'>&lt;Initialized Ensemble&gt;\n",
       "Dimensions:                        (member: 11, latitude: 50, longitude: 35,\n",
       "                                    init: 1060, lead: 1)\n",
       "Coordinates:\n",
       "  * member                         (member) int64 0 1 2 3 4 5 6 7 8 9 10\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "  * lead                           (lead) float64 2.0\n",
       "  * init                           (init) object 2000-01-03 00:00:00 ... 2020...\n",
       "    valid_time                     (lead, init) object 2000-01-17 00:00:00 .....\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (init, member, latitude, longitude) float32 ...</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>Initialized Ensemble</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-b0684a94-2fa5-492d-9280-1bdeac28cac6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b0684a94-2fa5-492d-9280-1bdeac28cac6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>member</span>: 11</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li><li><span class='xr-has-index'>init</span>: 1060</li><li><span class='xr-has-index'>lead</span>: 1</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-49dcf538-eae5-414f-8721-55dc04b3fda4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-49dcf538-eae5-414f-8721-55dc04b3fda4' class='xr-section-summary' >Coordinates: <span>(6)</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 class='xr-has-index'>member</span></div><div class='xr-var-dims'>(member)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9 10</div><input id='attrs-df1cdc6e-f6fd-42eb-8f4c-021991710797' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df1cdc6e-f6fd-42eb-8f4c-021991710797' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f3e0adc-db9e-4a3f-9b9e-340761987814' class='xr-var-data-in' type='checkbox'><label for='data-2f3e0adc-db9e-4a3f-9b9e-340761987814' 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>Member</dd><dt><span>units :</span></dt><dd>1</dd><dt><span>standard_name :</span></dt><dd>realization</dd><dt><span>description :</span></dt><dd>Realization is used to label a dimension that can be thought of as a statistical sample, e.g., labelling members of a model ensemble.</dd></dl></div><div class='xr-var-data'><pre>array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-5594f346-302d-4694-84e6-a9ab2613037f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5594f346-302d-4694-84e6-a9ab2613037f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c840dc6-6c87-47f1-83d9-f9b9d47cafac' class='xr-var-data-in' type='checkbox'><label for='data-3c840dc6-6c87-47f1-83d9-f9b9d47cafac' 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>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd><dt><span>amip :</span></dt><dd>latitude</dd><dt><span>description :</span></dt><dd>Latitude is positive northward; its units of degree_north (or equivalent) indicate this explicitly. In a latitude-longitude system defined with respect to a rotated North Pole, the standard name of grid_latitude should be used instead of latitude. Grid latitude is positive in the grid-northward direction, but its units should be plain degree.</dd></dl></div><div class='xr-var-data'><pre>array([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-63ed2250-dff2-41da-a22c-f7ad60cc98f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63ed2250-dff2-41da-a22c-f7ad60cc98f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5740657-417a-4ac6-8e0a-78f823d2fd12' class='xr-var-data-in' type='checkbox'><label for='data-d5740657-417a-4ac6-8e0a-78f823d2fd12' 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>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>amip :</span></dt><dd>longitude</dd><dt><span>description :</span></dt><dd>Longitude is positive eastward; its units of degree_east (or equivalent) indicate this explicitly. In a latitude-longitude system defined with respect to a rotated North Pole, the standard name of grid_longitude should be used instead of longitude. Grid longitude is positive in the grid-eastward direction, but its units should be plain degree.</dd></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lead</span></div><div class='xr-var-dims'>(lead)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-f775ed02-438f-4a99-85bd-a126ae30c545' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f775ed02-438f-4a99-85bd-a126ae30c545' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9627eab8-24e8-4f63-a180-c369478da25f' class='xr-var-data-in' type='checkbox'><label for='data-9627eab8-24e8-4f63-a180-c369478da25f' 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>units :</span></dt><dd>weeks</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>long_name :</span></dt><dd>Lead</dd><dt><span>description :</span></dt><dd>Forecast period is the time interval between the forecast reference time and the validity time. A period is an interval of time, or the time-period of an oscillation.</dd></dl></div><div class='xr-var-data'><pre>array([2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-03 00:00:00 ... 2020-01-...</div><input id='attrs-478f29d4-5115-44cf-b5ef-46091c13fba8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-478f29d4-5115-44cf-b5ef-46091c13fba8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a83d510-4197-43a2-830f-87eef9931325' class='xr-var-data-in' type='checkbox'><label for='data-4a83d510-4197-43a2-830f-87eef9931325' 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>standard_name :</span></dt><dd>forecast_reference_time</dd><dt><span>long_name :</span></dt><dd>Initialization</dd><dt><span>description :</span></dt><dd>The forecast reference time in NWP is the &quot;data time&quot;, the time of the analysis from which the forecast was made. It is not the time for which the forecast is valid; the standard name of time should be used for that time.</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(lead, init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-b04770a2-76ab-40bc-a220-772c0deaa880' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b04770a2-76ab-40bc-a220-772c0deaa880' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29ba3c0a-0a66-4177-a9cd-2b58ccb016cd' class='xr-var-data-in' type='checkbox'><label for='data-29ba3c0a-0a66-4177-a9cd-2b58ccb016cd' 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>validity time</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>time for which the forecast is valid</dd><dt><span>calculate :</span></dt><dd>init + lead</dd><dt><span>amip :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([[cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "        ...,\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "        cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)]],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6cd0d3e6-2a7b-4580-9041-9d1f2cc0a9ce' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6cd0d3e6-2a7b-4580-9041-9d1f2cc0a9ce' class='xr-section-summary' >Data variables: <span>(1)</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>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(init, member, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-57c138c8-4602-4af7-8e98-9cd9df8b06a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57c138c8-4602-4af7-8e98-9cd9df8b06a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-31d3c5ab-a0f6-48d9-9bc8-f9c245f9b734' class='xr-var-data-in' type='checkbox'><label for='data-31d3c5ab-a0f6-48d9-9bc8-f9c245f9b734' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>[20405000 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-5718157a-2605-4fc0-9a75-01900e596931' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-5718157a-2605-4fc0-9a75-01900e596931' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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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",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "}\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",
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       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
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       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
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       "\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;Observations&gt;\n",
       "Dimensions:                        (time: 1113, latitude: 50, longitude: 35)\n",
       "Coordinates:\n",
       "  * time                           (time) object 2000-01-17 00:00:00 ... 2021...\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (time, latitude, longitude) float32 nan .....</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>Observations</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-04954827-82ee-438f-bc1c-f3e574f180bb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-04954827-82ee-438f-bc1c-f3e574f180bb' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1113</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-0aa5dd85-bafc-4f31-b531-4f03183ffb41' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0aa5dd85-bafc-4f31-b531-4f03183ffb41' class='xr-section-summary' >Coordinates: <span>(3)</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 class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2021-01-...</div><input id='attrs-626b2933-e433-4c2f-b52d-2fa96a1b5871' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-626b2933-e433-4c2f-b52d-2fa96a1b5871' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9554d346-f44b-48ec-8a38-db0c03af46b9' class='xr-var-data-in' type='checkbox'><label for='data-9554d346-f44b-48ec-8a38-db0c03af46b9' 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'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2021, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-753c2a18-d5ad-4888-a422-4eb4d16c7dfa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-753c2a18-d5ad-4888-a422-4eb4d16c7dfa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec4175ff-0c02-4fa5-8f37-537eb2257210' class='xr-var-data-in' type='checkbox'><label for='data-ec4175ff-0c02-4fa5-8f37-537eb2257210' 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>units :</span></dt><dd>degrees_north</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>stored_direction :</span></dt><dd>decreasing</dd></dl></div><div class='xr-var-data'><pre>array([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-f4a2a506-916a-4d58-8518-210ac9727e15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4a2a506-916a-4d58-8518-210ac9727e15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2062acdf-5d22-4dae-a5d7-4d51ddc56732' class='xr-var-data-in' type='checkbox'><label for='data-2062acdf-5d22-4dae-a5d7-4d51ddc56732' 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>units :</span></dt><dd>degrees_east</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9cab3615-5101-49e6-862d-fd3cbee4c278' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9cab3615-5101-49e6-862d-fd3cbee4c278' class='xr-section-summary' >Data variables: <span>(1)</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>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-aa4404da-93be-497e-9735-b056134503e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa4404da-93be-497e-9735-b056134503e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13f59d01-267e-4ffb-9dcc-9521d34ade4a' class='xr-var-data-in' type='checkbox'><label for='data-13f59d01-267e-4ffb-9dcc-9521d34ade4a' 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>standard_name :</span></dt><dd>convective precipitation rate</dd><dt><span>long_name :</span></dt><dd>Climate Hazards group InfraRed Precipitation with Stations</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>time_step :</span></dt><dd>4_week_accumulation</dd><dt><span>geostatial_lat_min :</span></dt><dd>-50.0</dd><dt><span>geostatial_lat_max :</span></dt><dd>50.0</dd><dt><span>geostatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geostatial_lon_max :</span></dt><dd>180.0</dd></dl></div><div class='xr-var-data'><pre>array([[[        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [  4.2247047,  14.094817 ,  25.252491 , ...,  58.63185  ,\n",
       "         177.98346  , 163.4406   ],\n",
       "        [ 12.795706 ,  11.550631 ,  10.167349 , ...,  48.480824 ,\n",
       "          60.861137 ,  25.025085 ],\n",
       "        ...,\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [  4.2247047,   9.590516 ,  18.543541 , ...,  58.63185  ,\n",
       "         177.98346  , 167.14621  ],\n",
       "        [ 12.795706 ,  11.550631 ,   4.847823 , ...,  49.678337 ,\n",
       "          60.861137 ,  29.243073 ],\n",
       "...\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [  8.115257 ,  31.206917 ,  87.28843  , ...,  39.020096 ,\n",
       "         115.91663  , 100.98237  ],\n",
       "        [ 18.042122 ,  12.768827 ,   9.600269 , ...,  42.650036 ,\n",
       "          35.716236 ,  14.996954 ],\n",
       "        ...,\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [  0.       ,   0.       ,   0.       , ...,   0.       ,\n",
       "           0.       ,   0.       ],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]]], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0196f1e3-370f-4f13-b6f7-070e982b6978' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0196f1e3-370f-4f13-b6f7-070e982b6978' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": []
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# metadata added by cf-xarray\n",
    "he"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "890018d4-4a84-4337-b0d5-235db6d18a7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# alternatively regrid on same grid with climpred wrapping xesmf\n",
    "# he.smooth({\"latitude\":1.5, \"longitude\":1.5})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d7366762-3c00-491e-aeab-b79ae755ebbb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3.31 s, sys: 104 ms, total: 3.42 s\n",
      "Wall time: 3.43 s\n"
     ]
    }
   ],
   "source": [
    "# skill https://climpred.readthedocs.io/en/stable/api/climpred.classes.HindcastEnsemble.verify.html#climpred.classes.HindcastEnsemble.verify\n",
    "%time skill = he.verify(metric='crps', comparison='m2o', dim='member', alignment='same_verifs', reference=[\"climatology\", \"persistence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9009a9bb-e823-4ba0-a8ae-b48e5442a8bf",
   "metadata": {},
   "outputs": [
    {
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       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".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:                        (skill: 3, init: 990, latitude: 50,\n",
       "                                    longitude: 35)\n",
       "Coordinates:\n",
       "  * init                           (init) object 2000-01-17 00:00:00 ... 2020...\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "    lead                           float64 2.0\n",
       "    valid_time                     (init) object 2000-01-31 00:00:00 ... 2020...\n",
       "  * skill                          (skill) &lt;U11 &#x27;initialized&#x27; ... &#x27;persistence&#x27;\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (skill, init, latitude, longitude) float64 ...\n",
       "Attributes:\n",
       "    prediction_skill_software:     climpred https://climpred.readthedocs.io/\n",
       "    skill_calculated_by_function:  HindcastEnsemble.verify()\n",
       "    number_of_members:             11\n",
       "    alignment:                     same_verifs\n",
       "    metric:                        crps\n",
       "    comparison:                    m2o\n",
       "    dim:                           member\n",
       "    reference:                     [&#x27;climatology&#x27;, &#x27;persistence&#x27;]</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-889dc3f1-49a5-47b6-9ed5-7e69474d81c6' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-889dc3f1-49a5-47b6-9ed5-7e69474d81c6' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>skill</span>: 3</li><li><span class='xr-has-index'>init</span>: 990</li><li><span class='xr-has-index'>latitude</span>: 50</li><li><span class='xr-has-index'>longitude</span>: 35</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-2cc4c695-7ac8-46a4-9470-910148fe6af7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2cc4c695-7ac8-46a4-9470-910148fe6af7' class='xr-section-summary' >Coordinates: <span>(6)</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 class='xr-has-index'>init</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-17 00:00:00 ... 2020-01-...</div><input id='attrs-15155fa0-4fba-4690-bc2a-c94b51ea77c8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15155fa0-4fba-4690-bc2a-c94b51ea77c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f210393c-bed9-4e8a-afdd-0624c37958fd' class='xr-var-data-in' type='checkbox'><label for='data-f210393c-bed9-4e8a-afdd-0624c37958fd' 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'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       ...,\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>37.5 36.0 34.5 ... -34.5 -36.0</div><input id='attrs-0311c5c1-6df5-49f1-955a-c293d18966cf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0311c5c1-6df5-49f1-955a-c293d18966cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42d17af5-822d-4788-98eb-c788e9b5b3be' class='xr-var-data-in' type='checkbox'><label for='data-42d17af5-822d-4788-98eb-c788e9b5b3be' 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'></dl></div><div class='xr-var-data'><pre>array([ 37.5,  36. ,  34.5,  33. ,  31.5,  30. ,  28.5,  27. ,  25.5,  24. ,\n",
       "        22.5,  21. ,  19.5,  18. ,  16.5,  15. ,  13.5,  12. ,  10.5,   9. ,\n",
       "         7.5,   6. ,   4.5,   3. ,   1.5,   0. ,  -1.5,  -3. ,  -4.5,  -6. ,\n",
       "        -7.5,  -9. , -10.5, -12. , -13.5, -15. , -16.5, -18. , -19.5, -21. ,\n",
       "       -22.5, -24. , -25.5, -27. , -28.5, -30. , -31.5, -33. , -34.5, -36. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.5 3.0 4.5 ... 48.0 49.5 51.0</div><input id='attrs-93ebdb3b-c594-47bd-97d2-f3007a8f7e36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93ebdb3b-c594-47bd-97d2-f3007a8f7e36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0ecfe4-d453-4a5c-b3b2-674699745546' class='xr-var-data-in' type='checkbox'><label for='data-fe0ecfe4-d453-4a5c-b3b2-674699745546' 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'></dl></div><div class='xr-var-data'><pre>array([ 0. ,  1.5,  3. ,  4.5,  6. ,  7.5,  9. , 10.5, 12. , 13.5, 15. , 16.5,\n",
       "       18. , 19.5, 21. , 22.5, 24. , 25.5, 27. , 28.5, 30. , 31.5, 33. , 34.5,\n",
       "       36. , 37.5, 39. , 40.5, 42. , 43.5, 45. , 46.5, 48. , 49.5, 51. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lead</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0</div><input id='attrs-63be9a42-c251-4d03-9e05-c6d087cd4089' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63be9a42-c251-4d03-9e05-c6d087cd4089' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0382326-cd8a-48a0-a66a-0bb84ce3f533' class='xr-var-data-in' type='checkbox'><label for='data-b0382326-cd8a-48a0-a66a-0bb84ce3f533' 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>units :</span></dt><dd>weeks</dd><dt><span>standard_name :</span></dt><dd>forecast_period</dd><dt><span>long_name :</span></dt><dd>Lead</dd><dt><span>description :</span></dt><dd>Forecast period is the time interval between the forecast reference time and the validity time. A period is an interval of time, or the time-period of an oscillation.</dd></dl></div><div class='xr-var-data'><pre>array(2.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>valid_time</span></div><div class='xr-var-dims'>(init)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>2000-01-31 00:00:00 ... 2020-01-...</div><input id='attrs-fb1f0d5e-cf2c-4204-b9c8-98c49348eb75' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb1f0d5e-cf2c-4204-b9c8-98c49348eb75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3888625-6649-42aa-801a-644f8ea6dbe6' class='xr-var-data-in' type='checkbox'><label for='data-b3888625-6649-42aa-801a-644f8ea6dbe6' 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'></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeProlepticGregorian(2000, 1, 31, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 7, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 14, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 21, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 2, 28, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 6, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 13, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 20, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 3, 27, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 3, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 10, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 17, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 4, 24, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 15, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 22, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 5, 29, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 6, 5, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2000, 6, 12, 0, 0, 0, 0, has_year_zero=True),\n",
       "...\n",
       "       cftime.DatetimeProlepticGregorian(2019, 9, 11, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 9, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 9, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 2, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 9, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 16, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 23, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 10, 30, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 6, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 13, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 20, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 11, 27, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 4, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 11, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 18, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2019, 12, 25, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 1, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 8, 0, 0, 0, 0, has_year_zero=True),\n",
       "       cftime.DatetimeProlepticGregorian(2020, 1, 15, 0, 0, 0, 0, has_year_zero=True)],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>skill</span></div><div class='xr-var-dims'>(skill)</div><div class='xr-var-dtype'>&lt;U11</div><div class='xr-var-preview xr-preview'>&#x27;initialized&#x27; ... &#x27;persistence&#x27;</div><input id='attrs-22704a80-8487-405a-a385-5b57aa8f2096' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-22704a80-8487-405a-a385-5b57aa8f2096' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-236f6ed2-d437-422d-a689-cf2f9807c73a' class='xr-var-data-in' type='checkbox'><label for='data-236f6ed2-d437-422d-a689-cf2f9807c73a' 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>description :</span></dt><dd>new dimension prediction skill of initialized and reference forecasts created by .verify() or .bootstrap()</dd><dt><span>documentation :</span></dt><dd>https://climpred.readthedocs.io/en/v2.2.0/reference_forecast.html</dd><dt><span>initialized :</span></dt><dd>initialized forecast skill</dd><dt><span>climatology :</span></dt><dd>climatology forecast skill</dd><dt><span>persistence :</span></dt><dd>persistence forecast skill</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;initialized&#x27;, &#x27;climatology&#x27;, &#x27;persistence&#x27;], dtype=&#x27;&lt;U11&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-162507f5-f3f5-434e-82fe-530e1694da20' class='xr-section-summary-in' type='checkbox'  checked><label for='section-162507f5-f3f5-434e-82fe-530e1694da20' class='xr-section-summary' >Data variables: <span>(1)</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>__xarray_dataarray_variable__</span></div><div class='xr-var-dims'>(skill, init, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>nan nan nan nan ... nan nan nan nan</div><input id='attrs-e2ae532c-0734-4f66-8c5f-d0d7c9873cf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e2ae532c-0734-4f66-8c5f-d0d7c9873cf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53b14410-2734-473b-9a10-a0b9bb8ea82c' class='xr-var-data-in' type='checkbox'><label for='data-53b14410-2734-473b-9a10-a0b9bb8ea82c' 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>GRIB_paramId :</span></dt><dd>228228</dd><dt><span>GRIB_dataType :</span></dt><dd>pf</dd><dt><span>GRIB_numberOfPoints :</span></dt><dd>29040</dd><dt><span>GRIB_typeOfLevel :</span></dt><dd>surface</dd><dt><span>GRIB_stepUnits :</span></dt><dd>1</dd><dt><span>GRIB_stepType :</span></dt><dd>accum</dd><dt><span>GRIB_gridType :</span></dt><dd>regular_ll</dd><dt><span>GRIB_NV :</span></dt><dd>0</dd><dt><span>GRIB_Nx :</span></dt><dd>240</dd><dt><span>GRIB_Ny :</span></dt><dd>121</dd><dt><span>GRIB_cfName :</span></dt><dd>unknown</dd><dt><span>GRIB_cfVarName :</span></dt><dd>tp</dd><dt><span>GRIB_gridDefinitionDescription :</span></dt><dd>Latitude/longitude </dd><dt><span>GRIB_iDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_iScansNegatively :</span></dt><dd>0</dd><dt><span>GRIB_jDirectionIncrementInDegrees :</span></dt><dd>1.5</dd><dt><span>GRIB_jPointsAreConsecutive :</span></dt><dd>0</dd><dt><span>GRIB_jScansPositively :</span></dt><dd>0</dd><dt><span>GRIB_latitudeOfFirstGridPointInDegrees :</span></dt><dd>90.0</dd><dt><span>GRIB_latitudeOfLastGridPointInDegrees :</span></dt><dd>-90.0</dd><dt><span>GRIB_longitudeOfFirstGridPointInDegrees :</span></dt><dd>0.0</dd><dt><span>GRIB_longitudeOfLastGridPointInDegrees :</span></dt><dd>358.5</dd><dt><span>GRIB_missingValue :</span></dt><dd>9999</dd><dt><span>GRIB_name :</span></dt><dd>Total Precipitation</dd><dt><span>GRIB_shortName :</span></dt><dd>tp</dd><dt><span>GRIB_totalNumber :</span></dt><dd>11</dd><dt><span>GRIB_units :</span></dt><dd>kg m**-2</dd><dt><span>long_name :</span></dt><dd>Total Precipitation</dd><dt><span>units :</span></dt><dd>kg m**-2</dd><dt><span>standard_name :</span></dt><dd>unknown</dd><dt><span>cell_method :</span></dt><dd>lead_time: sum</dd></dl></div><div class='xr-var-data'><pre>array([[[[         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan],\n",
       "         [ 37.52082894,  17.13473647,   5.5945479 , ...,   5.78352004,\n",
       "           33.36614341,  36.27377698],\n",
       "         [  3.40953634,   6.1133361 ,  22.09888936, ...,  20.69845061,\n",
       "            5.87948329,   3.08685706],\n",
       "         ...,\n",
       "         [ 17.5917656 ,  13.81310379,  12.02719797, ...,  50.84702219,\n",
       "           56.87268066,  55.80647618],\n",
       "         [ 24.40743085,  18.49980882,  14.85132794, ...,  56.9096715 ,\n",
       "           55.89577163,  60.046932  ],\n",
       "         [         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan]],\n",
       "\n",
       "        [[         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan],\n",
       "         [ 22.36369956,  21.94304433,  17.33302692, ...,  12.11774724,\n",
       "           13.60407065,  26.58276121],\n",
       "         [  5.8747233 ,   9.96152455,   6.08443025, ...,  18.50277492,\n",
       "            5.66268087,  21.14533328],\n",
       "...\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan]],\n",
       "\n",
       "        [[         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan],\n",
       "         [  0.75670624,   4.29405594,   9.28271484, ...,   0.89439392,\n",
       "            2.05184174,  12.32609558],\n",
       "         [  0.        ,   0.        ,   1.07921219, ...,   3.34568024,\n",
       "            7.22145844,   6.48067856],\n",
       "         ...,\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [  0.        ,   0.        ,   0.        , ...,   0.        ,\n",
       "            0.        ,   0.        ],\n",
       "         [         nan,          nan,          nan, ...,          nan,\n",
       "                   nan,          nan]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a6cd4713-776a-4517-ac8f-c81a5e9455d5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a6cd4713-776a-4517-ac8f-c81a5e9455d5' class='xr-section-summary' >Attributes: <span>(8)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>prediction_skill_software :</span></dt><dd>climpred https://climpred.readthedocs.io/</dd><dt><span>skill_calculated_by_function :</span></dt><dd>HindcastEnsemble.verify()</dd><dt><span>number_of_members :</span></dt><dd>11</dd><dt><span>alignment :</span></dt><dd>same_verifs</dd><dt><span>metric :</span></dt><dd>crps</dd><dt><span>comparison :</span></dt><dd>m2o</dd><dt><span>dim :</span></dt><dd>member</dd><dt><span>reference :</span></dt><dd>[&#x27;climatology&#x27;, &#x27;persistence&#x27;]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:                        (skill: 3, init: 990, latitude: 50,\n",
       "                                    longitude: 35)\n",
       "Coordinates:\n",
       "  * init                           (init) object 2000-01-17 00:00:00 ... 2020...\n",
       "  * latitude                       (latitude) float64 37.5 36.0 ... -34.5 -36.0\n",
       "  * longitude                      (longitude) float64 0.0 1.5 3.0 ... 49.5 51.0\n",
       "    lead                           float64 2.0\n",
       "    valid_time                     (init) object 2000-01-31 00:00:00 ... 2020...\n",
       "  * skill                          (skill) <U11 'initialized' ... 'persistence'\n",
       "Data variables:\n",
       "    __xarray_dataarray_variable__  (skill, init, latitude, longitude) float64 ...\n",
       "Attributes:\n",
       "    prediction_skill_software:     climpred https://climpred.readthedocs.io/\n",
       "    skill_calculated_by_function:  HindcastEnsemble.verify()\n",
       "    number_of_members:             11\n",
       "    alignment:                     same_verifs\n",
       "    metric:                        crps\n",
       "    comparison:                    m2o\n",
       "    dim:                           member\n",
       "    reference:                     ['climatology', 'persistence']"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skill"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "0628059a-39f1-4daa-8949-c5a82c87deb2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f3412373310>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 13 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "skill.groupby(\"init.season\").mean().to_array().plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "2094b63c-e3c8-4d2d-bc90-6349d19da62e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 46.9 s, sys: 212 ms, total: 47.1 s\n",
      "Wall time: 51 s\n"
     ]
    }
   ],
   "source": [
    "# do some bias reduction before skill\n",
    "%time he_bias_removed = he.fillna(0.).remove_bias(how=\"basic_quantile\", alignment=\"same_verifs\")\n",
    "# fixing https://github.com/pangeo-data/climpred/issues/771\n",
    "he_bias_removed._datasets[\"initialized\"] = he_bias_removed._datasets[\"initialized\"].assign_coords(lead=he.coords[\"lead\"],valid_time=he.coords[\"valid_time\"])#.verify(metric='crps', comparison='m2o', dim='member', alignment='same_verifs', reference=\"climatology\").groupby(\"init.season\").mean().to_array().plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "0d00a0f9-680f-4a5b-b510-3ff718213faf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# quick fix pos precip\n",
    "he_bias_removed._datasets[\"initialized\"] = he_bias_removed._datasets[\"initialized\"].where(he_bias_removed._datasets[\"initialized\"]>0, other=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "c878fc56-d606-4ca5-99a3-4a46467897fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/aspring/.local/lib/python3.8/site-packages/climpred/classes.py:713: UserWarning: Error due to verification/control/uninitialized: xr.sel((), {'init': slice('2000', '2008', None)}) failed\n",
      "KeyError: \"'init' is not a valid dimension or coordinate\"\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "# kernel fails for all inits somehow\n",
    "bias_removed_skill = he_bias_removed.sel(init=slice(\"2000\",\"2008\")).verify(metric='crps', comparison='m2o', dim='member', alignment='same_verifs', reference=[\"climatology\", \"persistence\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "018db097-606f-478c-9a06-90a1f9c0feb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f340b73bd00>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x648 with 13 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "bias_removed_skill.groupby(\"init.season\").mean().to_array().plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "b945bb05-05af-473d-97b9-9a8df4b41cc4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f340b19d460>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# absolute skill improvement over reference in blue\n",
    "bias_removed_skill_seas = bias_removed_skill.groupby(\"init.season\").mean().to_array()\n",
    "(bias_removed_skill_seas.sel(skill=\"initialized\") - bias_removed_skill_seas.drop_sel(skill=\"initialized\")).plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "effb5a40-3b08-4db6-b346-6dce13341c2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.plot.facetgrid.FacetGrid at 0x7f340af475e0>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x432 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# skill improvement factor\n",
    "(bias_removed_skill_seas.drop_sel(skill=\"initialized\")/bias_removed_skill_seas.sel(skill=\"initialized\")).plot(robust=True,col=\"season\",row=\"skill\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7036c41c-695a-42f9-9fab-d9c3f692941c",
   "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": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}