src/notebooks/rechunker_test.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Test Rechunker on NWM\n",
    "\n",
    "Save a small piece of NWM and then rechunk it using the `rechunker` library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from os.path import join\n",
    "from os import makedirs\n",
    "import os\n",
    "import shutil\n",
    "\n",
    "import dask.dataframe as dd\n",
    "import psycopg2\n",
    "import shapely\n",
    "import shapely.wkt\n",
    "import geopandas as gpd\n",
    "import xarray as xr\n",
    "import fsspec\n",
    "import numpy as np\n",
    "import pyproj\n",
    "import pandas as pd\n",
    "from rechunker import rechunk\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## First, save a sample of NWM."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (feature_id: 2776738, time: 367439)\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "  * feature_id  (feature_id) int32 101 179 181 ... 1180001803 1180001804\n",
       "    gage_id     (feature_id) |S15 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "    latitude    (feature_id) float32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "    longitude   (feature_id) float32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "    order       (feature_id) int32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 2020-12-31T23:0...\n",
       "Data variables:\n",
       "    crs         |S1 ...\n",
       "    streamflow  (time, feature_id) float64 dask.array&lt;chunksize=(672, 30000), meta=np.ndarray&gt;\n",
       "    velocity    (time, feature_id) float64 dask.array&lt;chunksize=(672, 30000), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    TITLE:                OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
       "    code_version:         v5.2.0-beta2\n",
       "    featureType:          timeSeries\n",
       "    model_configuration:  retrospective\n",
       "    proj4:                +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1...</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-85993221-aa53-4c22-b9f5-e48eb0bbd6d4' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-85993221-aa53-4c22-b9f5-e48eb0bbd6d4' 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'>feature_id</span>: 2776738</li><li><span class='xr-has-index'>time</span>: 367439</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-644f0cc9-ab18-4576-8ca8-3003cbaddd53' class='xr-section-summary-in' type='checkbox'  checked><label for='section-644f0cc9-ab18-4576-8ca8-3003cbaddd53' class='xr-section-summary' >Coordinates: <span>(7)</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>elevation</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-6c61c072-c5ee-497e-951b-fa1b78751f0b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c61c072-c5ee-497e-951b-fa1b78751f0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2ae0fee-795b-4c12-8d04-b20bba1e3905' class='xr-var-data-in' type='checkbox'><label for='data-f2ae0fee-795b-4c12-8d04-b20bba1e3905' 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>feature elevation</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
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       "                </thead>\n",
       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                        <td> 10.59 MiB </td>\n",
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       "                        <td> (2776738,) </td>\n",
       "                        <td> (2776738,) </td>\n",
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       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
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       "                    <td> float32 </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>101 179 ... 1180001803 1180001804</div><input id='attrs-546eea33-ef21-4872-9982-ae541d41b48d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-546eea33-ef21-4872-9982-ae541d41b48d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc61fde8-fcef-403e-b18b-b001d49927c3' class='xr-var-data-in' type='checkbox'><label for='data-fc61fde8-fcef-403e-b18b-b001d49927c3' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>NHDPlusv2 ComIDs within CONUS, arbitrary Reach IDs outside of CONUS</dd><dt><span>long_name :</span></dt><dd>Reach ID</dd></dl></div><div class='xr-var-data'><pre>array([       101,        179,        181, ..., 1180001802, 1180001803,\n",
       "       1180001804], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gage_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-38209cb0-6054-4b14-af62-681e3bd4134c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38209cb0-6054-4b14-af62-681e3bd4134c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4f626136-6f3d-4b9b-ba22-837dda386e45' class='xr-var-data-in' type='checkbox'><label for='data-4f626136-6f3d-4b9b-ba22-837dda386e45' 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><dt><span>long_name :</span></dt><dd>NHD Gage Event ID from SOURCE_FEA field in Gages feature class</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 39.72 MiB </td>\n",
       "                        <td> 39.72 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2776738,) </td>\n",
       "                        <td> (2776738,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> |S15 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\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>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-d94079cd-9da5-46ce-92d5-41b28e22e143' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d94079cd-9da5-46ce-92d5-41b28e22e143' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f23badc1-c339-4c8b-b78c-fc5e00dd48e2' class='xr-var-data-in' type='checkbox'><label for='data-f23badc1-c339-4c8b-b78c-fc5e00dd48e2' 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>feature latitude</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>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2776738,) </td>\n",
       "                        <td> (2776738,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-16edefdd-ea4d-46f8-9758-4f2f44722182' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-16edefdd-ea4d-46f8-9758-4f2f44722182' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c76745d0-cbcb-4256-9c81-382cad2e2cf6' class='xr-var-data-in' type='checkbox'><label for='data-c76745d0-cbcb-4256-9c81-382cad2e2cf6' 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>feature longitude</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",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2776738,) </td>\n",
       "                        <td> (2776738,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "\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>order</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-9a9c9202-8ff8-4186-aff4-23e9f4102f17' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9a9c9202-8ff8-4186-aff4-23e9f4102f17' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fece68d-e47b-4152-89c3-61614e012d1a' class='xr-var-data-in' type='checkbox'><label for='data-9fece68d-e47b-4152-89c3-61614e012d1a' 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>stream order</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2776738,) </td>\n",
       "                        <td> (2776738,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </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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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 2020-12-...</div><input id='attrs-49216740-c39d-468e-badc-117f6456cab1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49216740-c39d-468e-badc-117f6456cab1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5887bf46-1331-4ee3-9861-b9e9c1244759' class='xr-var-data-in' type='checkbox'><label for='data-5887bf46-1331-4ee3-9861-b9e9c1244759' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-02-01T01:00:00.000000000&#x27;, &#x27;1979-02-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1979-02-01T03:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2da46fe6-ebf1-485a-b7a4-337b86b7b1ec' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2da46fe6-ebf1-485a-b7a4-337b86b7b1ec' class='xr-section-summary' >Data variables: <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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>|S1</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f5e377d7-1c95-49dd-b32e-6a5d6839b41a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5e377d7-1c95-49dd-b32e-6a5d6839b41a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c49dd48e-80d1-48df-a5f7-d8e7f46a3020' class='xr-var-data-in' type='checkbox'><label for='data-c49dd48e-80d1-48df-a5f7-d8e7f46a3020' 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>_CoordinateAxes :</span></dt><dd>latitude longitude</dd><dt><span>esri_pe_string :</span></dt><dd>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision</dd><dt><span>grid_mapping_name :</span></dt><dd>latitude longitude</dd><dt><span>inverse_flattening :</span></dt><dd>298.2572326660156</dd><dt><span>long_name :</span></dt><dd>CRS definition</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>semi_minor_axis :</span></dt><dd>6356752.5</dd><dt><span>spatial_ref :</span></dt><dd>GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]];-400 -400 1000000000;-100000 10000;-100000 10000;8.98315284119521E-09;0.001;0.001;IsHighPrecision</dd><dt><span>transform_name :</span></dt><dd>latitude longitude</dd></dl></div><div class='xr-var-data'><pre>array(b&#x27;&#x27;, dtype=&#x27;|S1&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>streamflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(672, 30000), meta=np.ndarray&gt;</div><input id='attrs-e23bdcfa-a697-4f5d-8e3c-cedfa6441ca3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e23bdcfa-a697-4f5d-8e3c-cedfa6441ca3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d89bdea1-84b5-42f5-aae3-d998767a1eb6' class='xr-var-data-in' type='checkbox'><label for='data-d89bdea1-84b5-42f5-aae3-d998767a1eb6' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Flow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 7.42 TiB </td>\n",
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      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (feature_id: 2776738, time: 367439)\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "  * feature_id  (feature_id) int32 101 179 181 ... 1180001803 1180001804\n",
       "    gage_id     (feature_id) |S15 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "    latitude    (feature_id) float32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "    longitude   (feature_id) float32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "    order       (feature_id) int32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 2020-12-31T23:0...\n",
       "Data variables:\n",
       "    crs         |S1 ...\n",
       "    streamflow  (time, feature_id) float64 dask.array<chunksize=(672, 30000), meta=np.ndarray>\n",
       "    velocity    (time, feature_id) float64 dask.array<chunksize=(672, 30000), meta=np.ndarray>\n",
       "Attributes:\n",
       "    TITLE:                OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
       "    code_version:         v5.2.0-beta2\n",
       "    featureType:          timeSeries\n",
       "    model_configuration:  retrospective\n",
       "    proj4:                +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load the CHRTOUT data from the NWM Retrospective Zarr 2.1 dataset\n",
    "# This has \"Streamflow values at points associated with flow lines\" \n",
    "# See https://registry.opendata.aws/nwm-archive/\n",
    "nwm_uri = 's3://noaa-nwm-retrospective-2-1-zarr-pds/chrtout.zarr'\n",
    "ds = xr.open_zarr(fsspec.get_mapper(nwm_uri, anon=True, requester_pays=True))\n",
    "ds"
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds.streamflow.sel(time='05-20-2022:05-22-2022')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "root_dir = '/opt/data/noaa/rechunker-test'\n",
    "if os.path.isdir(root_dir):\n",
    "    shutil.rmtree(root_dir)\n",
    "makedirs(root_dir)\n",
    "\n",
    "nwm_path = join(root_dir, 'nwm-sample')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
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       "  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",
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       "}\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",
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       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
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       "}\n",
       "\n",
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       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
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       "\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",
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       "\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",
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       "  list-style: none;\n",
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       "\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",
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       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
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       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
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       "\n",
       ".xr-var-item > div,\n",
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       ".xr-var-item > .xr-var-name span {\n",
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       ".xr-var-item > .xr-var-name:hover span {\n",
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       "\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",
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       "\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",
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       "\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",
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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",
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       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
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       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
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       "\n",
       ".xr-var-data > table {\n",
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       "\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",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;streamflow&#x27; (time: 367439, feature_id: 2776738)&gt;\n",
       "dask.array&lt;open_dataset-97bd28df7335f5f3299f184f3cacc5destreamflow, shape=(367439, 2776738), dtype=float64, chunksize=(672, 30000), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "  * feature_id  (feature_id) int32 101 179 181 ... 1180001803 1180001804\n",
       "    gage_id     (feature_id) |S15 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "    latitude    (feature_id) float32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "    longitude   (feature_id) float32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "    order       (feature_id) int32 dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 2020-12-31T23:0...\n",
       "Attributes:\n",
       "    grid_mapping:  crs\n",
       "    long_name:     River Flow\n",
       "    units:         m3 s-1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'streamflow'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 367439</li><li><span class='xr-has-index'>feature_id</span>: 2776738</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-abff8213-33d9-4520-9f5e-34614c859533' class='xr-array-in' type='checkbox' checked><label for='section-abff8213-33d9-4520-9f5e-34614c859533' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(672, 30000), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 7.42 TiB </td>\n",
       "                        <td> 153.81 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (367439, 2776738) </td>\n",
       "                        <td> (672, 30000) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 50872 Tasks </td>\n",
       "                        <td> 50871 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></div></li><li class='xr-section-item'><input id='section-54d9426b-44f1-4f17-bc87-09246446fcbf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-54d9426b-44f1-4f17-bc87-09246446fcbf' class='xr-section-summary' >Coordinates: <span>(7)</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>elevation</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-86e4af55-f52a-438d-8e1e-1e9039013080' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86e4af55-f52a-438d-8e1e-1e9039013080' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-afbaf0c6-6387-44b7-9d87-1551fe4fc7ff' class='xr-var-data-in' type='checkbox'><label for='data-afbaf0c6-6387-44b7-9d87-1551fe4fc7ff' 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>feature elevation</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
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       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                        <td> 10.59 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (2776738,) </td>\n",
       "                        <td> (2776738,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>101 179 ... 1180001803 1180001804</div><input id='attrs-4e58d267-a173-4249-8d85-0ce60cce801c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e58d267-a173-4249-8d85-0ce60cce801c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f8654fc-b3e9-4fcd-8c44-a46583c3949e' class='xr-var-data-in' type='checkbox'><label for='data-0f8654fc-b3e9-4fcd-8c44-a46583c3949e' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>NHDPlusv2 ComIDs within CONUS, arbitrary Reach IDs outside of CONUS</dd><dt><span>long_name :</span></dt><dd>Reach ID</dd></dl></div><div class='xr-var-data'><pre>array([       101,        179,        181, ..., 1180001802, 1180001803,\n",
       "       1180001804], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gage_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-242fff31-c160-43b6-b96e-3a825bec1f4b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-242fff31-c160-43b6-b96e-3a825bec1f4b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b873c323-6974-4217-b1d1-e39b18858ef2' class='xr-var-data-in' type='checkbox'><label for='data-b873c323-6974-4217-b1d1-e39b18858ef2' 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><dt><span>long_name :</span></dt><dd>NHD Gage Event ID from SOURCE_FEA field in Gages feature class</dd></dl></div><div class='xr-var-data'><table>\n",
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       "                    <tr>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(2776738,), meta=np.ndarray&gt;</div><input id='attrs-95b923ca-368d-45ec-a3cd-1b7fe4a4190d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95b923ca-368d-45ec-a3cd-1b7fe4a4190d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a76524c-9fa0-4657-9f9b-007387167516' class='xr-var-data-in' type='checkbox'><label for='data-2a76524c-9fa0-4657-9f9b-007387167516' 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>feature latitude</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",
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       "</table></div></li><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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 2020-12-...</div><input id='attrs-ee9d1bcd-89e7-4368-82e3-faf505d7a6a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee9d1bcd-89e7-4368-82e3-faf505d7a6a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fabf8061-b32c-40c8-b21d-1ac5b91ac79f' class='xr-var-data-in' type='checkbox'><label for='data-fabf8061-b32c-40c8-b21d-1ac5b91ac79f' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-02-01T01:00:00.000000000&#x27;, &#x27;1979-02-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1979-02-01T03:00:00.000000000&#x27;, ..., &#x27;2020-12-31T21:00:00.000000000&#x27;,\n",
       "       &#x27;2020-12-31T22:00:00.000000000&#x27;, &#x27;2020-12-31T23:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-379cd682-cbad-4879-8a73-4992e7207405' class='xr-section-summary-in' type='checkbox'  checked><label for='section-379cd682-cbad-4879-8a73-4992e7207405' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Flow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'streamflow' (time: 367439, feature_id: 2776738)>\n",
       "dask.array<open_dataset-97bd28df7335f5f3299f184f3cacc5destreamflow, shape=(367439, 2776738), dtype=float64, chunksize=(672, 30000), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "  * feature_id  (feature_id) int32 101 179 181 ... 1180001803 1180001804\n",
       "    gage_id     (feature_id) |S15 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "    latitude    (feature_id) float32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "    longitude   (feature_id) float32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "    order       (feature_id) int32 dask.array<chunksize=(2776738,), meta=np.ndarray>\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 2020-12-31T23:0...\n",
       "Attributes:\n",
       "    grid_mapping:  crs\n",
       "    long_name:     River Flow\n",
       "    units:         m3 s-1"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.streamflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "sub_ds = ds.isel(time=slice(0, 5000), feature_id=slice(0, 5000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;streamflow&#x27; (time: 5000, feature_id: 5000)&gt;\n",
       "dask.array&lt;getitem, shape=(5000, 5000), dtype=float64, chunksize=(672, 5000), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "  * feature_id  (feature_id) int32 101 179 181 183 ... 194429 197191 197193\n",
       "    gage_id     (feature_id) |S15 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "    latitude    (feature_id) float32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "    longitude   (feature_id) float32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "    order       (feature_id) int32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 1979-08-28T08:0...\n",
       "Attributes:\n",
       "    grid_mapping:  crs\n",
       "    long_name:     River Flow\n",
       "    units:         m3 s-1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'streamflow'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5000</li><li><span class='xr-has-index'>feature_id</span>: 5000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c62bc9e0-6287-47c2-88f1-bfc14a093fc6' class='xr-array-in' type='checkbox' checked><label for='section-c62bc9e0-6287-47c2-88f1-bfc14a093fc6' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(672, 5000), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 190.73 MiB </td>\n",
       "                        <td> 25.63 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
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       "                        <td> (672, 5000) </td>\n",
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       "                        <td> 50880 Tasks </td>\n",
       "                        <td> 8 Chunks </td>\n",
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       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>101 179 181 ... 197191 197193</div><input id='attrs-0cd67b51-6ce7-40c9-a339-a7542aeca69e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cd67b51-6ce7-40c9-a339-a7542aeca69e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb0e0318-7992-474e-aac8-e49b56413a97' class='xr-var-data-in' type='checkbox'><label for='data-eb0e0318-7992-474e-aac8-e49b56413a97' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>NHDPlusv2 ComIDs within CONUS, arbitrary Reach IDs outside of CONUS</dd><dt><span>long_name :</span></dt><dd>Reach ID</dd></dl></div><div class='xr-var-data'><pre>array([   101,    179,    181, ..., 194429, 197191, 197193], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gage_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-648dd143-bdf8-46e7-98f3-38cc4f1de83d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-648dd143-bdf8-46e7-98f3-38cc4f1de83d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75a7e968-52fe-4163-a2b1-8858dccca0f4' class='xr-var-data-in' type='checkbox'><label for='data-75a7e968-52fe-4163-a2b1-8858dccca0f4' 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><dt><span>long_name :</span></dt><dd>NHD Gage Event ID from SOURCE_FEA field in Gages feature class</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 73.24 kiB </td>\n",
       "                        <td> 73.24 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
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       "                        <td> (5000,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> |S15 </td>\n",
       "                    <td> numpy.ndarray </td>\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>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-6bebae82-21ad-40a1-b8fd-ecaf6c26d91b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bebae82-21ad-40a1-b8fd-ecaf6c26d91b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54816b49-4ed1-4eaa-89e3-21e5450f57ab' class='xr-var-data-in' type='checkbox'><label for='data-54816b49-4ed1-4eaa-89e3-21e5450f57ab' 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>feature latitude</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>\n",
       "                        <td> </td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
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       "                        <td> (5000,) </td>\n",
       "                        <td> (5000,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-2e3b7d61-c5b0-4a71-87c0-0c59a7f175ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2e3b7d61-c5b0-4a71-87c0-0c59a7f175ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-096c6588-51eb-4e0a-825f-0ec7c13c286a' class='xr-var-data-in' type='checkbox'><label for='data-096c6588-51eb-4e0a-825f-0ec7c13c286a' 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>feature longitude</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",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 19.53 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (5000,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>order</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-9f6cd70a-ba30-43f2-a201-25f96973d8c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9f6cd70a-ba30-43f2-a201-25f96973d8c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-02f2f267-2143-4e81-b7dc-239bfe76c42c' class='xr-var-data-in' type='checkbox'><label for='data-02f2f267-2143-4e81-b7dc-239bfe76c42c' 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>stream order</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (5000,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 1979-08-...</div><input id='attrs-090349ea-ca54-4637-9f96-047a9ca05379' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-090349ea-ca54-4637-9f96-047a9ca05379' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2c9dd15-e891-420c-b31b-318c32ee8b11' class='xr-var-data-in' type='checkbox'><label for='data-a2c9dd15-e891-420c-b31b-318c32ee8b11' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-02-01T01:00:00.000000000&#x27;, &#x27;1979-02-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1979-02-01T03:00:00.000000000&#x27;, ..., &#x27;1979-08-28T06:00:00.000000000&#x27;,\n",
       "       &#x27;1979-08-28T07:00:00.000000000&#x27;, &#x27;1979-08-28T08:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b223f162-4085-471d-afce-a251c17d0de9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b223f162-4085-471d-afce-a251c17d0de9' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Flow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'streamflow' (time: 5000, feature_id: 5000)>\n",
       "dask.array<getitem, shape=(5000, 5000), dtype=float64, chunksize=(672, 5000), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "  * feature_id  (feature_id) int32 101 179 181 183 ... 194429 197191 197193\n",
       "    gage_id     (feature_id) |S15 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "    latitude    (feature_id) float32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "    longitude   (feature_id) float32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "    order       (feature_id) int32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 1979-08-28T08:0...\n",
       "Attributes:\n",
       "    grid_mapping:  crs\n",
       "    long_name:     River Flow\n",
       "    units:         m3 s-1"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub_ds.streamflow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.backends.zarr.ZarrStore at 0x40a906bc10>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub_ds.to_zarr(nwm_path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:     (feature_id: 5000, time: 5000)\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "  * feature_id  (feature_id) int32 101 179 181 183 ... 194429 197191 197193\n",
       "    gage_id     (feature_id) |S15 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "    latitude    (feature_id) float32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "    longitude   (feature_id) float32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "    order       (feature_id) int32 dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 1979-08-28T08:0...\n",
       "Data variables:\n",
       "    crs         object None\n",
       "    streamflow  (time, feature_id) float64 dask.array&lt;chunksize=(672, 5000), meta=np.ndarray&gt;\n",
       "    velocity    (time, feature_id) float64 dask.array&lt;chunksize=(672, 5000), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    TITLE:                OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
       "    code_version:         v5.2.0-beta2\n",
       "    featureType:          timeSeries\n",
       "    model_configuration:  retrospective\n",
       "    proj4:                +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1...</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-8c550d7f-eecc-4f4c-8ba5-1c01599c5b7a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8c550d7f-eecc-4f4c-8ba5-1c01599c5b7a' 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'>feature_id</span>: 5000</li><li><span class='xr-has-index'>time</span>: 5000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-56c5ce11-55f5-476b-af5e-a598853a105d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-56c5ce11-55f5-476b-af5e-a598853a105d' class='xr-section-summary' >Coordinates: <span>(7)</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>elevation</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-ba5f0aaf-ea02-4ed4-b9fb-0aded290d65d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba5f0aaf-ea02-4ed4-b9fb-0aded290d65d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db993a16-750b-4437-a0be-fe5d3c1eed97' class='xr-var-data-in' type='checkbox'><label for='data-db993a16-750b-4437-a0be-fe5d3c1eed97' 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>feature elevation</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (5000,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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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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       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5000</text>\n",
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       "</svg>\n",
       "        </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>101 179 181 ... 197191 197193</div><input id='attrs-b141be8e-83d2-4e1b-984d-bee68d906196' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b141be8e-83d2-4e1b-984d-bee68d906196' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fc7405b-ea13-4f47-bcff-6c45603b8ca3' class='xr-var-data-in' type='checkbox'><label for='data-7fc7405b-ea13-4f47-bcff-6c45603b8ca3' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>NHDPlusv2 ComIDs within CONUS, arbitrary Reach IDs outside of CONUS</dd><dt><span>long_name :</span></dt><dd>Reach ID</dd></dl></div><div class='xr-var-data'><pre>array([   101,    179,    181, ..., 194429, 197191, 197193], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gage_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-d5e3e92d-0673-4f62-a8a8-43d9ce0e748b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5e3e92d-0673-4f62-a8a8-43d9ce0e748b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f1dd5d5a-c5bd-4568-8ecf-eb052b550096' class='xr-var-data-in' type='checkbox'><label for='data-f1dd5d5a-c5bd-4568-8ecf-eb052b550096' 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><dt><span>long_name :</span></dt><dd>NHD Gage Event ID from SOURCE_FEA field in Gages feature class</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
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       "                        <td> </td>\n",
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       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 73.24 kiB </td>\n",
       "                        <td> 73.24 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (5000,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> |S15 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\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>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-e52e20e4-e676-4e51-852f-3f8c7c4fb086' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e52e20e4-e676-4e51-852f-3f8c7c4fb086' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-46832d35-591b-42da-bd39-7614a17ca4fe' class='xr-var-data-in' type='checkbox'><label for='data-46832d35-591b-42da-bd39-7614a17ca4fe' 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>feature latitude</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>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (5000,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-43fb0a73-39e8-4dad-ab23-a713b9cfba54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-43fb0a73-39e8-4dad-ab23-a713b9cfba54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2f52dd6-0cd2-4228-97e2-397bceeff25c' class='xr-var-data-in' type='checkbox'><label for='data-a2f52dd6-0cd2-4228-97e2-397bceeff25c' 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>feature longitude</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",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (5000,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>order</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(5000,), meta=np.ndarray&gt;</div><input id='attrs-b6382636-ebca-40bc-8121-ec9ff26b33b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6382636-ebca-40bc-8121-ec9ff26b33b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-636aeac5-b3bd-43f1-8b68-81b182bbdace' class='xr-var-data-in' type='checkbox'><label for='data-636aeac5-b3bd-43f1-8b68-81b182bbdace' 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>stream order</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (5000,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 3 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </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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       "\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><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'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 1979-08-...</div><input id='attrs-5c9dfbd4-2219-400d-8c0e-a9ea025a52ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c9dfbd4-2219-400d-8c0e-a9ea025a52ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b6c60ae-9956-4325-a42f-5b2d04ea5bbf' class='xr-var-data-in' type='checkbox'><label for='data-2b6c60ae-9956-4325-a42f-5b2d04ea5bbf' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-02-01T01:00:00.000000000&#x27;, &#x27;1979-02-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1979-02-01T03:00:00.000000000&#x27;, ..., &#x27;1979-08-28T06:00:00.000000000&#x27;,\n",
       "       &#x27;1979-08-28T07:00:00.000000000&#x27;, &#x27;1979-08-28T08:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b049129e-ff94-4e75-90c2-0f3146a08473' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b049129e-ff94-4e75-90c2-0f3146a08473' class='xr-section-summary' >Data variables: <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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>None</div><input id='attrs-f3c3abf3-1a82-4094-954a-7aced904a30b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f3c3abf3-1a82-4094-954a-7aced904a30b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ed75e2d6-fdb7-48a9-9a60-aee7cce21e7f' class='xr-var-data-in' type='checkbox'><label for='data-ed75e2d6-fdb7-48a9-9a60-aee7cce21e7f' 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(None, dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>streamflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(672, 5000), meta=np.ndarray&gt;</div><input id='attrs-3a76145e-3df8-4ee8-a6c3-445741df8949' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a76145e-3df8-4ee8-a6c3-445741df8949' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-858e5297-b1f8-4cec-bb1e-9f6532166b30' class='xr-var-data-in' type='checkbox'><label for='data-858e5297-b1f8-4cec-bb1e-9f6532166b30' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Flow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 190.73 MiB </td>\n",
       "                        <td> 25.63 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000, 5000) </td>\n",
       "                        <td> (672, 5000) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 50880 Tasks </td>\n",
       "                        <td> 8 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(672, 5000), meta=np.ndarray&gt;</div><input id='attrs-5e689bc4-5cd6-4229-bd86-c5363a1bc3b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e689bc4-5cd6-4229-bd86-c5363a1bc3b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d08e5354-9663-4a7f-ac46-0dcc390f54b4' class='xr-var-data-in' type='checkbox'><label for='data-d08e5354-9663-4a7f-ac46-0dcc390f54b4' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 190.73 MiB </td>\n",
       "                        <td> 25.63 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000, 5000) </td>\n",
       "                        <td> (672, 5000) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 50880 Tasks </td>\n",
       "                        <td> 8 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "  <text x=\"60.000000\" y=\"140.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5000</text>\n",
       "  <text x=\"140.000000\" y=\"60.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,60.000000)\">5000</text>\n",
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       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-8128db0c-e612-440b-93c9-7b30828d42e6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8128db0c-e612-440b-93c9-7b30828d42e6' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>TITLE :</span></dt><dd>OUTPUT FROM WRF-Hydro v5.2.0-beta2</dd><dt><span>code_version :</span></dt><dd>v5.2.0-beta2</dd><dt><span>featureType :</span></dt><dd>timeSeries</dd><dt><span>model_configuration :</span></dt><dd>retrospective</dd><dt><span>proj4 :</span></dt><dd>+proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1=30.0 +lat_2=60.0 +lat_0=40.0 +lon_0=-97.0 +x_0=0 +y_0=0 +k_0=1.0 +nadgrids=@</dd></dl></div></li></ul></div></div>\n",
       "        </details>\n",
       "        <details>\n",
       "<summary><b>Intermediate</b></summary>\n",
       "<p><code>&lt;zarr.hierarchy.Group &#x27;/&#x27;&gt;</code></p>\n",
       "</details>\n",
       "\n",
       "        <details>\n",
       "          <summary><b>Target</b></summary>\n",
       "          <p><code>&lt;zarr.hierarchy.Group &#x27;/&#x27;&gt;</code></p>\n",
       "        </details>\n"
      ],
      "text/plain": [
       "<Rechunked>\n",
       "* Source      : <xarray.Dataset>\n",
       "Dimensions:     (feature_id: 5000, time: 5000)\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "  * feature_id  (feature_id) int32 101 179 181 183 ... 194429 197191 197193\n",
       "    gage_id     (feature_id) |S15 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "    latitude    (feature_id) float32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "    longitude   (feature_id) float32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "    order       (feature_id) int32 dask.array<chunksize=(5000,), meta=np.ndarray>\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 1979-08-28T08:0...\n",
       "Data variables:\n",
       "    crs         object None\n",
       "    streamflow  (time, feature_id) float64 dask.array<chunksize=(672, 5000), meta=np.ndarray>\n",
       "    velocity    (time, feature_id) float64 dask.array<chunksize=(672, 5000), meta=np.ndarray>\n",
       "Attributes:\n",
       "    TITLE:                OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
       "    code_version:         v5.2.0-beta2\n",
       "    featureType:          timeSeries\n",
       "    model_configuration:  retrospective\n",
       "    proj4:                +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1...\n",
       "\n",
       "* Intermediate: <zarr.hierarchy.Group '/'>\n",
       "\n",
       "* Target      : <zarr.hierarchy.Group '/'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "target_chunks = {'feature_id': 300, 'time': 300}\n",
    "# TODO what is max_mem for?\n",
    "max_mem = '20MB'\n",
    "\n",
    "target_store = join(root_dir, 'nwm-target.zarr')\n",
    "temp_store = join(root_dir, 'nwm-temp.zarr')\n",
    "\n",
    "# Note, if you get a ContainsArrayError, you probably need to delete temp_store and target_store first.\n",
    "# See https://github.com/pangeo-data/rechunker/issues/78\n",
    "rechunk_plan = rechunk(sub_ds, target_chunks, max_mem, target_store, temp_store=temp_store)\n",
    "rechunk_plan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<zarr.hierarchy.Group '/'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rechunk_plan.execute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_10625/340056961.py:1: RuntimeWarning: Failed to open Zarr store with consolidated metadata, falling back to try reading non-consolidated metadata. This is typically much slower for opening a dataset. To silence this warning, consider:\n",
      "1. Consolidating metadata in this existing store with zarr.consolidate_metadata().\n",
      "2. Explicitly setting consolidated=False, to avoid trying to read consolidate metadata, or\n",
      "3. Explicitly setting consolidated=True, to raise an error in this case instead of falling back to try reading non-consolidated metadata.\n",
      "  rechunked_ds = xr.open_zarr(target_store)\n"
     ]
    },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
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       "  * feature_id  (feature_id) int32 101 179 181 183 ... 194429 197191 197193\n",
       "    gage_id     (feature_id) |S15 dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;\n",
       "    latitude    (feature_id) float32 dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;\n",
       "    longitude   (feature_id) float32 dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;\n",
       "    order       (feature_id) int32 dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 1979-08-28T08:0...\n",
       "Data variables:\n",
       "    crs         float64 ...\n",
       "    streamflow  (time, feature_id) float64 dask.array&lt;chunksize=(300, 300), meta=np.ndarray&gt;\n",
       "    velocity    (time, feature_id) float64 dask.array&lt;chunksize=(300, 300), meta=np.ndarray&gt;\n",
       "Attributes:\n",
       "    TITLE:                OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
       "    code_version:         v5.2.0-beta2\n",
       "    featureType:          timeSeries\n",
       "    model_configuration:  retrospective\n",
       "    proj4:                +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1...</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-f415b841-fa40-4fc8-896d-343381a34b42' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f415b841-fa40-4fc8-896d-343381a34b42' 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'>feature_id</span>: 5000</li><li><span class='xr-has-index'>time</span>: 5000</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-ca2abea4-ffef-49a9-bc8c-66a1b16fa5a9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ca2abea4-ffef-49a9-bc8c-66a1b16fa5a9' class='xr-section-summary' >Coordinates: <span>(7)</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>elevation</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-27de6812-d733-4898-b928-490c96d26f8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27de6812-d733-4898-b928-490c96d26f8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c32b9d4-76f1-4acd-b6b2-f2770529b2b0' class='xr-var-data-in' type='checkbox'><label for='data-6c32b9d4-76f1-4acd-b6b2-f2770529b2b0' 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>feature elevation</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >5000</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 class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>101 179 181 ... 197191 197193</div><input id='attrs-dfbb64fc-e1ab-4c61-b262-d634aaee09f4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dfbb64fc-e1ab-4c61-b262-d634aaee09f4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-22daf955-5b06-4099-9d9f-0e041853827a' class='xr-var-data-in' type='checkbox'><label for='data-22daf955-5b06-4099-9d9f-0e041853827a' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>NHDPlusv2 ComIDs within CONUS, arbitrary Reach IDs outside of CONUS</dd><dt><span>long_name :</span></dt><dd>Reach ID</dd></dl></div><div class='xr-var-data'><pre>array([   101,    179,    181, ..., 194429, 197191, 197193], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gage_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-5a06aac8-9952-4bdc-ab04-d229714336bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a06aac8-9952-4bdc-ab04-d229714336bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aa5630b-6b26-46d8-bdf2-7b96448dc9f5' class='xr-var-data-in' type='checkbox'><label for='data-9aa5630b-6b26-46d8-bdf2-7b96448dc9f5' 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><dt><span>long_name :</span></dt><dd>NHD Gage Event ID from SOURCE_FEA field in Gages feature class</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 73.24 kiB </td>\n",
       "                        <td> 4.39 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> |S15 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\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>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-1b8b5119-93d2-45ca-865a-e780452098a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1b8b5119-93d2-45ca-865a-e780452098a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9722f93b-8bbe-4899-bcef-d81d053fc2e9' class='xr-var-data-in' type='checkbox'><label for='data-9722f93b-8bbe-4899-bcef-d81d053fc2e9' 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>feature latitude</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>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-d12239c9-a8ee-40ec-9ed9-cb2f36b7ff2b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d12239c9-a8ee-40ec-9ed9-cb2f36b7ff2b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ee6ed03-4ac4-40f9-b16b-0e9570c95913' class='xr-var-data-in' type='checkbox'><label for='data-8ee6ed03-4ac4-40f9-b16b-0e9570c95913' 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>feature longitude</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",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>order</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-c034bc4f-15fe-487c-b838-44fa8368b63d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c034bc4f-15fe-487c-b838-44fa8368b63d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d39b5b2a-d138-4b71-890a-29e60c93095d' class='xr-var-data-in' type='checkbox'><label for='data-d39b5b2a-d138-4b71-890a-29e60c93095d' 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>stream order</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 1979-08-...</div><input id='attrs-6c64eac7-fcd6-40fe-bca9-34d3e71e67af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6c64eac7-fcd6-40fe-bca9-34d3e71e67af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74a25726-76b7-4b45-8c4a-71848fdc74a2' class='xr-var-data-in' type='checkbox'><label for='data-74a25726-76b7-4b45-8c4a-71848fdc74a2' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-02-01T01:00:00.000000000&#x27;, &#x27;1979-02-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1979-02-01T03:00:00.000000000&#x27;, ..., &#x27;1979-08-28T06:00:00.000000000&#x27;,\n",
       "       &#x27;1979-08-28T07:00:00.000000000&#x27;, &#x27;1979-08-28T08:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1b3059cb-726d-4157-8d60-ddebe3a78078' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b3059cb-726d-4157-8d60-ddebe3a78078' class='xr-section-summary' >Data variables: <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>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3eab3d6c-520e-498a-b6c9-01744cc0a4b2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3eab3d6c-520e-498a-b6c9-01744cc0a4b2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3be5e16-ec45-4cd3-b83a-7eac0fc80420' class='xr-var-data-in' type='checkbox'><label for='data-d3be5e16-ec45-4cd3-b83a-7eac0fc80420' 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(nan)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>streamflow</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300, 300), meta=np.ndarray&gt;</div><input id='attrs-6d369399-c718-44c5-9a81-15568d71eeb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d369399-c718-44c5-9a81-15568d71eeb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4905162b-f03b-4f85-863b-00a0afc4dd13' class='xr-var-data-in' type='checkbox'><label for='data-4905162b-f03b-4f85-863b-00a0afc4dd13' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Flow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 190.73 MiB </td>\n",
       "                        <td> 703.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000, 5000) </td>\n",
       "                        <td> (300, 300) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 290 Tasks </td>\n",
       "                        <td> 289 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>velocity</span></div><div class='xr-var-dims'>(time, feature_id)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300, 300), meta=np.ndarray&gt;</div><input id='attrs-75dc45d1-01ed-4fc1-bba6-90de6771e761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-75dc45d1-01ed-4fc1-bba6-90de6771e761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-330b7f4b-8a98-49bc-a015-070ad0acfc41' class='xr-var-data-in' type='checkbox'><label for='data-330b7f4b-8a98-49bc-a015-070ad0acfc41' 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>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Velocity</dd><dt><span>units :</span></dt><dd>m s-1</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 190.73 MiB </td>\n",
       "                        <td> 703.12 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000, 5000) </td>\n",
       "                        <td> (300, 300) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 290 Tasks </td>\n",
       "                        <td> 289 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float64 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "            </table>\n",
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      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:     (feature_id: 5000, time: 5000)\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "  * feature_id  (feature_id) int32 101 179 181 183 ... 194429 197191 197193\n",
       "    gage_id     (feature_id) |S15 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "    latitude    (feature_id) float32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "    longitude   (feature_id) float32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "    order       (feature_id) int32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 1979-08-28T08:0...\n",
       "Data variables:\n",
       "    crs         float64 ...\n",
       "    streamflow  (time, feature_id) float64 dask.array<chunksize=(300, 300), meta=np.ndarray>\n",
       "    velocity    (time, feature_id) float64 dask.array<chunksize=(300, 300), meta=np.ndarray>\n",
       "Attributes:\n",
       "    TITLE:                OUTPUT FROM WRF-Hydro v5.2.0-beta2\n",
       "    code_version:         v5.2.0-beta2\n",
       "    featureType:          timeSeries\n",
       "    model_configuration:  retrospective\n",
       "    proj4:                +proj=lcc +units=m +a=6370000.0 +b=6370000.0 +lat_1..."
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rechunked_ds = xr.open_zarr(target_store)\n",
    "rechunked_ds\n",
    "# TODO why warning about consolidated metadata?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;streamflow&#x27; (time: 5000, feature_id: 5000)&gt;\n",
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       "Attributes:\n",
       "    grid_mapping:  crs\n",
       "    long_name:     River Flow\n",
       "    units:         m3 s-1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'streamflow'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5000</li><li><span class='xr-has-index'>feature_id</span>: 5000</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-6caed469-a503-406e-bdb4-ba638fbf6c8b' class='xr-array-in' type='checkbox' checked><label for='section-6caed469-a503-406e-bdb4-ba638fbf6c8b' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>dask.array&lt;chunksize=(300, 300), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-5e8ea1aa-f1bd-4581-8f3f-b3e369b19316' class='xr-section-summary-in' type='checkbox'  checked><label for='section-5e8ea1aa-f1bd-4581-8f3f-b3e369b19316' class='xr-section-summary' >Coordinates: <span>(7)</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>elevation</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-8bc68a31-92a4-4447-af61-68c89c5d1e30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bc68a31-92a4-4447-af61-68c89c5d1e30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fa4fce1-c50e-4f00-b2e2-878a148be1b9' class='xr-var-data-in' type='checkbox'><label for='data-6fa4fce1-c50e-4f00-b2e2-878a148be1b9' 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>feature elevation</dd><dt><span>units :</span></dt><dd>meters</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
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       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>feature_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>101 179 181 ... 197191 197193</div><input id='attrs-77f12469-0bbe-42b1-9ee7-2e039fea89a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-77f12469-0bbe-42b1-9ee7-2e039fea89a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98330e31-2aa9-4f1a-b5e5-60f2def99f1d' class='xr-var-data-in' type='checkbox'><label for='data-98330e31-2aa9-4f1a-b5e5-60f2def99f1d' 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>cf_role :</span></dt><dd>timeseries_id</dd><dt><span>comment :</span></dt><dd>NHDPlusv2 ComIDs within CONUS, arbitrary Reach IDs outside of CONUS</dd><dt><span>long_name :</span></dt><dd>Reach ID</dd></dl></div><div class='xr-var-data'><pre>array([   101,    179,    181, ..., 194429, 197191, 197193], dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gage_id</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>|S15</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-bac4f5d4-09a8-41f1-b0e0-ec8406a85e13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bac4f5d4-09a8-41f1-b0e0-ec8406a85e13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6d33c24-e30c-4178-bd95-0d71d5191946' class='xr-var-data-in' type='checkbox'><label for='data-f6d33c24-e30c-4178-bd95-0d71d5191946' 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><dt><span>long_name :</span></dt><dd>NHD Gage Event ID from SOURCE_FEA field in Gages feature class</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 73.24 kiB </td>\n",
       "                        <td> 4.39 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Shape </th>\n",
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       "                        <td> (300,) </td>\n",
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       "                    <tr>\n",
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       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> |S15 </td>\n",
       "                    <td> numpy.ndarray </td>\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>latitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-e6f0848f-8296-4b03-b279-bcd31ecce328' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6f0848f-8296-4b03-b279-bcd31ecce328' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd2b4b0f-2c3c-4fd4-95a1-dad3048541a9' class='xr-var-data-in' type='checkbox'><label for='data-fd2b4b0f-2c3c-4fd4-95a1-dad3048541a9' 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>feature latitude</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>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-abcce78b-22a7-4cd0-85b1-9367b59a08c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abcce78b-22a7-4cd0-85b1-9367b59a08c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4a45cb4d-2986-41d8-9db8-f20bcc78ac35' class='xr-var-data-in' type='checkbox'><label for='data-4a45cb4d-2986-41d8-9db8-f20bcc78ac35' 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>feature longitude</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",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> float32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>order</span></div><div class='xr-var-dims'>(feature_id)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(300,), meta=np.ndarray&gt;</div><input id='attrs-c788a280-e79d-4933-821b-4831a17a3bc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c788a280-e79d-4933-821b-4831a17a3bc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-86beadfb-33ff-40fd-9b31-45eccd9348a4' class='xr-var-data-in' type='checkbox'><label for='data-86beadfb-33ff-40fd-9b31-45eccd9348a4' 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>stream order</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 19.53 kiB </td>\n",
       "                        <td> 1.17 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (5000,) </td>\n",
       "                        <td> (300,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 18 Tasks </td>\n",
       "                        <td> 17 Chunks </td>\n",
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       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int32 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
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       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1979-02-01T01:00:00 ... 1979-08-...</div><input id='attrs-dcd9d3bc-3896-4331-8372-4abe770e88e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dcd9d3bc-3896-4331-8372-4abe770e88e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25ce924f-e20c-4e23-8ca4-c0588e95bf92' class='xr-var-data-in' type='checkbox'><label for='data-25ce924f-e20c-4e23-8ca4-c0588e95bf92' 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>valid output time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1979-02-01T01:00:00.000000000&#x27;, &#x27;1979-02-01T02:00:00.000000000&#x27;,\n",
       "       &#x27;1979-02-01T03:00:00.000000000&#x27;, ..., &#x27;1979-08-28T06:00:00.000000000&#x27;,\n",
       "       &#x27;1979-08-28T07:00:00.000000000&#x27;, &#x27;1979-08-28T08:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-22ef2ae4-f21b-48e1-b43f-2ab919077be8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-22ef2ae4-f21b-48e1-b43f-2ab919077be8' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>long_name :</span></dt><dd>River Flow</dd><dt><span>units :</span></dt><dd>m3 s-1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'streamflow' (time: 5000, feature_id: 5000)>\n",
       "dask.array<open_dataset-d8875e79d45ac95f34d8893e2ee97460streamflow, shape=(5000, 5000), dtype=float64, chunksize=(300, 300), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "    elevation   (feature_id) float32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "  * feature_id  (feature_id) int32 101 179 181 183 ... 194429 197191 197193\n",
       "    gage_id     (feature_id) |S15 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "    latitude    (feature_id) float32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "    longitude   (feature_id) float32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "    order       (feature_id) int32 dask.array<chunksize=(300,), meta=np.ndarray>\n",
       "  * time        (time) datetime64[ns] 1979-02-01T01:00:00 ... 1979-08-28T08:0...\n",
       "Attributes:\n",
       "    grid_mapping:  crs\n",
       "    long_name:     River Flow\n",
       "    units:         m3 s-1"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rechunked_ds.streamflow"
   ]
  }
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