forest-disturbance-daymet-sampling.ipynb

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   "source": [
    "import math\n",
    "import os\n",
    "import time\n",
    "\n",
    "# pip/conda installed\n",
    "import dask.array as da\n",
    "import fiona.transform\n",
    "import fsspec\n",
    "import pandas as pd\n",
    "import xarray as xr\n",
    "from netCDF4 import Dataset\n",
    "from dask.distributed import as_completed\n",
    "from dask.distributed import Client\n",
    "from dask.distributed import performance_report\n",
    "from dask_gateway import GatewayCluster\n",
    "\n",
    "from utils import get_logger\n",
    "from utils.dask import create_cluster\n",
    "from utils.dask import upload_source"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reproject(lons, lats):\n",
    "    dst_crs = \"+proj=lcc +lat_1=25 +lat_2=60 +lat_0=42.5 +lon_0=-100 +x_0=0 +y_0=0 +ellps=WGS84 +units=m +no_defs\"\n",
    "    src_crs = \"EPSG:4326\"\n",
    "    (x, y) = fiona.transform.transform(\n",
    "        src_crs, dst_crs, lons, lats\n",
    "    )\n",
    "    return x, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   "outputs": [],
   "source": [
    "# fill with your account key\n",
    "os.environ['AZURE_ACCOUNT_KEY'] = \"\""
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   "metadata": {},
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       "<h3 style=\"text-align: left;\">Client</h3>\n",
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       "  <li><b>Scheduler: </b>tcp://127.0.0.1:33247</li>\n",
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       "<h3 style=\"text-align: left;\">Cluster</h3>\n",
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       "  <li><b>Workers: </b>4</li>\n",
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       "<Client: 'tcp://127.0.0.1:33247' processes=4 threads=16, memory=33.68 GB>"
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   ],
   "source": [
    "from dask.distributed import Client\n",
    "\n",
    "client = Client(\"tcp://127.0.0.1:33247\")\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_src = fsspec.get_mapper(\n",
    "    f\"az://fia/daymet/na_40yr_monthly_means.zarr\",\n",
    "    account_name=\"usfs\",\n",
    "    account_key=os.environ['AZURE_ACCOUNT_KEY']\n",
    ")\n",
    "std_src = fsspec.get_mapper(\n",
    "    f\"az://fia/daymet/na_40yr_monthly_std_devs.zarr\",\n",
    "    account_name=\"usfs\",\n",
    "    account_key=os.environ['AZURE_ACCOUNT_KEY']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "pt_means_dest = fsspec.get_mapper(\n",
    "    f\"az://fia/daymet/fia_40yr_monthly_means.zarr\",\n",
    "    account_name=\"usfs\",\n",
    "    account_key=os.environ['AZURE_ACCOUNT_KEY']\n",
    ")\n",
    "pt_std_dest = fsspec.get_mapper(\n",
    "    f\"az://fia/daymet/fia_40yr_monthly_std_devs.zarr\",\n",
    "    account_name=\"usfs\",\n",
    "    account_key=os.environ['AZURE_ACCOUNT_KEY']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./fia_no_pltcn.csv')\n",
    "train_pts = df.where(df['INVYR'] >= 2015).dropna()\n",
    "x, y = reproject(train_pts.LON.tolist(), train_pts.LAT.tolist())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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     "name": "stderr",
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      "/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py:539: UserWarning: Specified Dask chunks 1250 would separate Zarr chunk shape 505 for dimension 'y'. This significantly degrades performance. Consider rechunking after loading instead.\n",
      "  store.get_chunk(k, v, chunks),\n",
      "/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py:539: UserWarning: Specified Dask chunks 1250 would separate Zarr chunk shape 977 for dimension 'x'. This significantly degrades performance. Consider rechunking after loading instead.\n",
      "  store.get_chunk(k, v, chunks),\n"
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       "    tmax     (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;\n",
       "    tmin     (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;\n",
       "    vp       (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;</pre><div class='xr-wrap' hidden><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-eb5922e7-8ce1-4996-ad62-07352af56f3c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-eb5922e7-8ce1-4996-ad62-07352af56f3c' 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'>month</span>: 12</li><li><span class='xr-has-index'>x</span>: 7814</li><li><span class='xr-has-index'>y</span>: 8075</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-843676aa-1ab9-447c-ae1b-29943f4cd0b6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-843676aa-1ab9-447c-ae1b-29943f4cd0b6' 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>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1250, 1250), meta=np.ndarray&gt;</div><input id='attrs-ee05ebec-5b00-4183-9353-3e30cee93293' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee05ebec-5b00-4183-9353-3e30cee93293' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13badf2a-8a98-4a83-b96e-a19450b87f4b' class='xr-var-data-in' type='checkbox'><label for='data-13badf2a-8a98-4a83-b96e-a19450b87f4b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 252.39 MB </td> <td> 6.25 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (8075, 7814) </td> <td> (1250, 1250) </td></tr>\n",
       "    <tr><th> Count </th><td> 50 Tasks </td><td> 49 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
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       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1250, 1250), meta=np.ndarray&gt;</div><input id='attrs-2bcec008-a69a-4dfe-8925-391fcc05b104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2bcec008-a69a-4dfe-8925-391fcc05b104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b247d1f-28a4-40a8-a9da-c819890e255a' class='xr-var-data-in' type='checkbox'><label for='data-6b247d1f-28a4-40a8-a9da-c819890e255a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-adc07169-4935-4a2b-a631-29ead0259b36' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-adc07169-4935-4a2b-a631-29ead0259b36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f38efac-7055-4960-acf5-4a5b2ebbc5bf' class='xr-var-data-in' type='checkbox'><label for='data-0f38efac-7055-4960-acf5-4a5b2ebbc5bf' 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([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.56e+06 -4.559e+06 ... 3.253e+06</div><input id='attrs-e6cb2112-4884-4a13-9412-53571a4bfa40' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6cb2112-4884-4a13-9412-53571a4bfa40' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75e727b9-9ea7-48b3-8496-f4e7fea21604' class='xr-var-data-in' type='checkbox'><label for='data-75e727b9-9ea7-48b3-8496-f4e7fea21604' 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>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-4560250., -4559250., -4558250., ...,  3250750.,  3251750.,  3252750.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.984e+06 4.983e+06 ... -3.09e+06</div><input id='attrs-296da164-957d-43df-ba54-ccb4fd286aa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-296da164-957d-43df-ba54-ccb4fd286aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b61c584c-11cc-4f8c-b245-3bb45f8b5602' class='xr-var-data-in' type='checkbox'><label for='data-b61c584c-11cc-4f8c-b245-3bb45f8b5602' 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>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 4984000.,  4983000.,  4982000., ..., -3088000., -3089000., -3090000.],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-368ca51e-794b-4b64-9a1b-b0a350b186a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-368ca51e-794b-4b64-9a1b-b0a350b186a2' class='xr-section-summary' >Data variables: <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>prcp</span></div><div class='xr-var-dims'>(month, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;</div><input id='attrs-33ec3fac-9001-4eae-b19a-bd9100e7085f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-33ec3fac-9001-4eae-b19a-bd9100e7085f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7668044b-1706-43f9-b22e-e118531a1249' class='xr-var-data-in' type='checkbox'><label for='data-7668044b-1706-43f9-b22e-e118531a1249' 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'><table>\n",
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       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "<xarray.Dataset>\n",
       "Dimensions:  (month: 12, x: 7814, y: 8075)\n",
       "Coordinates:\n",
       "    lat      (y, x) float32 dask.array<chunksize=(1250, 1250), meta=np.ndarray>\n",
       "    lon      (y, x) float32 dask.array<chunksize=(1250, 1250), meta=np.ndarray>\n",
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       "  * x        (x) float32 -4.56e+06 -4.559e+06 -4.558e+06 ... 3.252e+06 3.253e+06\n",
       "  * y        (y) float32 4.984e+06 4.983e+06 4.982e+06 ... -3.089e+06 -3.09e+06\n",
       "Data variables:\n",
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       "    swe      (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>\n",
       "    tmax     (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>\n",
       "    tmin     (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>\n",
       "    vp       (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "mn = xr.open_zarr(mean_src, chunks={'month':1, 'x': 1250, 'y': 1250})\n",
    "mn"
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  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.backends.zarr.ZarrStore at 0x7fdd1807a460>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "mn.sel(\n",
    "    x=xr.DataArray(x, dims='idx', coords={'idx': train_pts['INDEX'].tolist()}),\n",
    "    y=xr.DataArray(y, dims='idx', coords={'idx': train_pts['INDEX'].tolist()}),\n",
    "    method=\"nearest\"\n",
    ").drop_vars(['lat', 'lon', 'x', 'y']).to_zarr(pt_means_dest)"
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  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
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      "/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py:539: UserWarning: Specified Dask chunks 1250 would separate Zarr chunk shape 505 for dimension 'y'. This significantly degrades performance. Consider rechunking after loading instead.\n",
      "  store.get_chunk(k, v, chunks),\n",
      "/srv/conda/envs/notebook/lib/python3.8/site-packages/xarray/backends/api.py:539: UserWarning: Specified Dask chunks 1250 would separate Zarr chunk shape 977 for dimension 'x'. This significantly degrades performance. Consider rechunking after loading instead.\n",
      "  store.get_chunk(k, v, chunks),\n"
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       "  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",
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       "\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",
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       "\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",
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       "\n",
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       "\n",
       ".xr-var-dims {\n",
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       "\n",
       ".xr-var-dtype {\n",
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       "  text-align: right;\n",
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       "\n",
       ".xr-var-preview {\n",
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       "\n",
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       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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       "  display: block;\n",
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       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
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       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
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       "\n",
       ".xr-attrs,\n",
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       ".xr-var-data {\n",
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       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
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       "}\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",
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       "\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:  (month: 12, x: 7814, y: 8075)\n",
       "Coordinates:\n",
       "    lat      (y, x) float32 dask.array&lt;chunksize=(1250, 1250), meta=np.ndarray&gt;\n",
       "    lon      (y, x) float32 dask.array&lt;chunksize=(1250, 1250), meta=np.ndarray&gt;\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "  * x        (x) float32 -4.56e+06 -4.559e+06 -4.558e+06 ... 3.252e+06 3.253e+06\n",
       "  * y        (y) float32 4.984e+06 4.983e+06 4.982e+06 ... -3.089e+06 -3.09e+06\n",
       "Data variables:\n",
       "    prcp     (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;\n",
       "    swe      (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;\n",
       "    tmax     (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;\n",
       "    tmin     (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;\n",
       "    vp       (month, y, x) float32 dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;</pre><div class='xr-wrap' hidden><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-7e7d8582-9475-4a9e-b360-dc3adb3c4c45' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7e7d8582-9475-4a9e-b360-dc3adb3c4c45' 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'>month</span>: 12</li><li><span class='xr-has-index'>x</span>: 7814</li><li><span class='xr-has-index'>y</span>: 8075</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-58399c82-7c30-4158-9114-f5541a29ace9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-58399c82-7c30-4158-9114-f5541a29ace9' 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>lat</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1250, 1250), meta=np.ndarray&gt;</div><input id='attrs-18d43dc5-ac5b-402c-8f5d-f9bc64f37837' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18d43dc5-ac5b-402c-8f5d-f9bc64f37837' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-adf45c98-ce0f-44be-974c-b232bfd158b1' class='xr-var-data-in' type='checkbox'><label for='data-adf45c98-ce0f-44be-974c-b232bfd158b1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude coordinate</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 252.39 MB </td> <td> 6.25 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (8075, 7814) </td> <td> (1250, 1250) </td></tr>\n",
       "    <tr><th> Count </th><td> 50 Tasks </td><td> 49 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
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       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>(y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1250, 1250), meta=np.ndarray&gt;</div><input id='attrs-045d9169-f31a-405b-804b-b64cf53763b2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-045d9169-f31a-405b-804b-b64cf53763b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ab9831e-0ec5-4e42-b2b1-eec8c8f12324' class='xr-var-data-in' type='checkbox'><label for='data-5ab9831e-0ec5-4e42-b2b1-eec8c8f12324' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude coordinate</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
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       "  <tbody>\n",
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       "    <tr><th> Count </th><td> 50 Tasks </td><td> 49 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-6ba48684-5b7e-4ae0-a084-3d1db2a2e3e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6ba48684-5b7e-4ae0-a084-3d1db2a2e3e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ddb17dd-c68e-4aa8-be2e-42b123f50830' class='xr-var-data-in' type='checkbox'><label for='data-7ddb17dd-c68e-4aa8-be2e-42b123f50830' 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([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-4.56e+06 -4.559e+06 ... 3.253e+06</div><input id='attrs-1494b7f3-36da-474d-bc7d-047a54b292e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1494b7f3-36da-474d-bc7d-047a54b292e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25c21ecc-3d90-4785-98e9-2529ae4902c7' class='xr-var-data-in' type='checkbox'><label for='data-25c21ecc-3d90-4785-98e9-2529ae4902c7' 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>x coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_x_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-4560250., -4559250., -4558250., ...,  3250750.,  3251750.,  3252750.],\n",
       "      dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>4.984e+06 4.983e+06 ... -3.09e+06</div><input id='attrs-62c423fb-fde2-473b-9e0a-c9adb87a30e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62c423fb-fde2-473b-9e0a-c9adb87a30e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8e97ae2-8184-436a-8105-70a80b11f996' class='xr-var-data-in' type='checkbox'><label for='data-d8e97ae2-8184-436a-8105-70a80b11f996' 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>y coordinate of projection</dd><dt><span>standard_name :</span></dt><dd>projection_y_coordinate</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([ 4984000.,  4983000.,  4982000., ..., -3088000., -3089000., -3090000.],\n",
       "      dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3fe99371-d344-46d8-956b-26ad20951143' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3fe99371-d344-46d8-956b-26ad20951143' class='xr-section-summary' >Data variables: <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>prcp</span></div><div class='xr-var-dims'>(month, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;</div><input id='attrs-5f4588a3-4a59-434e-adac-d8ac1dcdd276' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-5f4588a3-4a59-434e-adac-d8ac1dcdd276' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4ee1b2e-893e-415f-84fd-eff5d1b640c7' class='xr-var-data-in' type='checkbox'><label for='data-b4ee1b2e-893e-415f-84fd-eff5d1b640c7' 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'><table>\n",
       "<tr>\n",
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       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
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       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 3.03 GB </td> <td> 6.25 MB </td></tr>\n",
       "    <tr><th> Shape </th><td> (12, 8075, 7814) </td> <td> (1, 1250, 1250) </td></tr>\n",
       "    <tr><th> Count </th><td> 589 Tasks </td><td> 588 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swe</span></div><div class='xr-var-dims'>(month, y, x)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 1250, 1250), meta=np.ndarray&gt;</div><input id='attrs-23bb183d-8fcd-4e2a-a9c7-25411d1eb0d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23bb183d-8fcd-4e2a-a9c7-25411d1eb0d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6819815d-2569-4f0e-b4ec-772cd10a4881' class='xr-var-data-in' type='checkbox'><label for='data-6819815d-2569-4f0e-b4ec-772cd10a4881' 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'><table>\n",
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      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (month: 12, x: 7814, y: 8075)\n",
       "Coordinates:\n",
       "    lat      (y, x) float32 dask.array<chunksize=(1250, 1250), meta=np.ndarray>\n",
       "    lon      (y, x) float32 dask.array<chunksize=(1250, 1250), meta=np.ndarray>\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "  * x        (x) float32 -4.56e+06 -4.559e+06 -4.558e+06 ... 3.252e+06 3.253e+06\n",
       "  * y        (y) float32 4.984e+06 4.983e+06 4.982e+06 ... -3.089e+06 -3.09e+06\n",
       "Data variables:\n",
       "    prcp     (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>\n",
       "    swe      (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>\n",
       "    tmax     (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>\n",
       "    tmin     (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>\n",
       "    vp       (month, y, x) float32 dask.array<chunksize=(1, 1250, 1250), meta=np.ndarray>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "std = xr.open_zarr(std_src, chunks={'month':1, 'x': 1250, 'y': 1250})\n",
    "std"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.backends.zarr.ZarrStore at 0x7fdd0b435e20>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "std.sel(\n",
    "    x=xr.DataArray(x, dims='idx', coords={'idx': train_pts['INDEX'].tolist()}),\n",
    "    y=xr.DataArray(y, dims='idx', coords={'idx': train_pts['INDEX'].tolist()}),\n",
    "    method=\"nearest\"\n",
    ").drop_vars(['lat', 'lon', 'x', 'y']).to_zarr(pt_std_dest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
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       "    prcp     (month, idx) float32 dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;\n",
       "    swe      (month, idx) float32 dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;\n",
       "    tmax     (month, idx) float32 dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;\n",
       "    tmin     (month, idx) float32 dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;\n",
       "    vp       (month, idx) float32 dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;</pre><div class='xr-wrap' hidden><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-256491c3-db51-4e53-8216-66228864499b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-256491c3-db51-4e53-8216-66228864499b' 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'>idx</span>: 198225</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4c78e322-3c2e-4b4b-a924-7091e0f27c70' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4c78e322-3c2e-4b4b-a924-7091e0f27c70' class='xr-section-summary' >Coordinates: <span>(2)</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'>idx</span></div><div class='xr-var-dims'>(idx)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.0 5.0 8.0 ... 9.811e+05 9.811e+05</div><input id='attrs-d3413b09-b979-4fda-bbac-8f8843708f30' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3413b09-b979-4fda-bbac-8f8843708f30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d413804c-e05d-425c-ab6c-7228536b36b8' class='xr-var-data-in' type='checkbox'><label for='data-d413804c-e05d-425c-ab6c-7228536b36b8' 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([2.00000e+00, 5.00000e+00, 8.00000e+00, ..., 9.81110e+05, 9.81111e+05,\n",
       "       9.81112e+05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-688c5d2b-5221-488f-80ae-5b8451822688' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-688c5d2b-5221-488f-80ae-5b8451822688' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a9d8c47-e8a1-475b-9732-90abaddac6db' class='xr-var-data-in' type='checkbox'><label for='data-0a9d8c47-e8a1-475b-9732-90abaddac6db' 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([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-87d68455-c0db-4421-a96c-721e2dcd2fbc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-87d68455-c0db-4421-a96c-721e2dcd2fbc' class='xr-section-summary' >Data variables: <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>prcp</span></div><div class='xr-var-dims'>(month, idx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;</div><input id='attrs-5591ba65-eb5b-4585-94f1-6cd8bb9bafda' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5591ba65-eb5b-4585-94f1-6cd8bb9bafda' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8dd5617d-3fd7-46e5-a843-1b5606ff80f2' class='xr-var-data-in' type='checkbox'><label for='data-8dd5617d-3fd7-46e5-a843-1b5606ff80f2' 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>coordinates :</span></dt><dd>lat lon</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 9.51 MB </td> <td> 792.90 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (12, 198225) </td> <td> (1, 198225) </td></tr>\n",
       "    <tr><th> Count </th><td> 13 Tasks </td><td> 12 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "  <line x1=\"0\" y1=\"12\" x2=\"120\" y2=\"12\" />\n",
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       "\n",
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       "\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>swe</span></div><div class='xr-var-dims'>(month, idx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;</div><input id='attrs-1b507c3d-d62f-4bff-899a-9a145d4cd0dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b507c3d-d62f-4bff-899a-9a145d4cd0dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e157475-9734-44e5-95c2-176c20c3ffc8' class='xr-var-data-in' type='checkbox'><label for='data-4e157475-9734-44e5-95c2-176c20c3ffc8' 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>coordinates :</span></dt><dd>lat lon</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 9.51 MB </td> <td> 792.90 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (12, 198225) </td> <td> (1, 198225) </td></tr>\n",
       "    <tr><th> Count </th><td> 13 Tasks </td><td> 12 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "\n",
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       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmax</span></div><div class='xr-var-dims'>(month, idx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;</div><input id='attrs-300ea537-c77c-4b1d-bd33-f3d090b9bcfc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-300ea537-c77c-4b1d-bd33-f3d090b9bcfc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-902e4f56-7d68-4f07-8799-88522e42ddbb' class='xr-var-data-in' type='checkbox'><label for='data-902e4f56-7d68-4f07-8799-88522e42ddbb' 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>coordinates :</span></dt><dd>lat lon</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 9.51 MB </td> <td> 792.90 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (12, 198225) </td> <td> (1, 198225) </td></tr>\n",
       "    <tr><th> Count </th><td> 13 Tasks </td><td> 12 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "\n",
       "  <!-- Colored Rectangle -->\n",
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       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >198225</text>\n",
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       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tmin</span></div><div class='xr-var-dims'>(month, idx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;</div><input id='attrs-36077b72-7fd6-47af-bd29-57318856241b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-36077b72-7fd6-47af-bd29-57318856241b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7a770e3-0903-4113-8a9a-53da81233ea6' class='xr-var-data-in' type='checkbox'><label for='data-f7a770e3-0903-4113-8a9a-53da81233ea6' 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>coordinates :</span></dt><dd>lat lon</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 9.51 MB </td> <td> 792.90 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (12, 198225) </td> <td> (1, 198225) </td></tr>\n",
       "    <tr><th> Count </th><td> 13 Tasks </td><td> 12 Chunks </td></tr>\n",
       "    <tr><th> Type </th><td> float32 </td><td> numpy.ndarray </td></tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</td>\n",
       "<td>\n",
       "<svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
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       "\n",
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       "\n",
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       "  <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">12</text>\n",
       "</svg>\n",
       "</td>\n",
       "</tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>vp</span></div><div class='xr-var-dims'>(month, idx)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 198225), meta=np.ndarray&gt;</div><input id='attrs-2d6d3f42-fd8a-49f3-963c-209fcad8b4e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d6d3f42-fd8a-49f3-963c-209fcad8b4e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b68d96c4-7fd9-430c-8688-579e7edfc6aa' class='xr-var-data-in' type='checkbox'><label for='data-b68d96c4-7fd9-430c-8688-579e7edfc6aa' 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>coordinates :</span></dt><dd>lat lon</dd></dl></div><div class='xr-var-data'><table>\n",
       "<tr>\n",
       "<td>\n",
       "<table>\n",
       "  <thead>\n",
       "    <tr><td> </td><th> Array </th><th> Chunk </th></tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr><th> Bytes </th><td> 9.51 MB </td> <td> 792.90 kB </td></tr>\n",
       "    <tr><th> Shape </th><td> (12, 198225) </td> <td> (1, 198225) </td></tr>\n",
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      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (idx: 198225, month: 12)\n",
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       "    swe      (month, idx) float32 dask.array<chunksize=(1, 198225), meta=np.ndarray>\n",
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       "    vp       (month, idx) float32 dask.array<chunksize=(1, 198225), meta=np.ndarray>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "check = xr.open_zarr(pt_std_dest)\n",
    "check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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