{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a07a9221",
   "metadata": {},
   "source": [
    "# TimeScale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "43b321d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %matplotlib inline #特殊点用了%， 这说明作者用的jupyter notebook 在写代码；放在其他地方运行可能就不成功会报错\n",
    "from xmitgcm import open_mdsdataset #按照这个xmitgcm 的库很方便\n",
    "import xgcm\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "from xlayers import finegrid, layers\n",
    "from xlayers.core import layers_apply\n",
    "import numpy as np\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "68f5e206",
   "metadata": {},
   "outputs": [
    {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;TRAC01&#x27; (time: 104, Z: 30, YC: 144, XC: 240)&gt;\n",
       "dask.array&lt;concatenate, shape=(104, 30, 144, 240), dtype=float32, chunksize=(1, 30, 144, 240), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * XC       (XC) &gt;f4 0.5 1.5 2.5 3.5 4.5 5.5 ... 235.5 236.5 237.5 238.5 239.5\n",
       "  * YC       (YC) &gt;f4 -71.5 -70.5 -69.5 -68.5 -67.5 ... 67.5 68.5 69.5 70.5 71.5\n",
       "  * Z        (Z) &gt;f4 -10.0 -30.0 -50.0 ... -3.375e+03 -3.625e+03 -3.875e+03\n",
       "    rA       (YC, XC) &gt;f4 dask.array&lt;chunksize=(144, 240), meta=np.ndarray&gt;\n",
       "    Depth    (YC, XC) &gt;f4 dask.array&lt;chunksize=(144, 240), meta=np.ndarray&gt;\n",
       "    drF      (Z) &gt;f4 dask.array&lt;chunksize=(30,), meta=np.ndarray&gt;\n",
       "    PHrefC   (Z) &gt;f4 dask.array&lt;chunksize=(30,), meta=np.ndarray&gt;\n",
       "    hFacC    (Z, YC, XC) &gt;f4 dask.array&lt;chunksize=(30, 144, 240), meta=np.ndarray&gt;\n",
       "    maskC    (Z, YC, XC) bool dask.array&lt;chunksize=(30, 144, 240), meta=np.ndarray&gt;\n",
       "    rhoRef   (Z) &gt;f4 dask.array&lt;chunksize=(30,), meta=np.ndarray&gt;\n",
       "    iter     (time) int64 dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "  * time     (time) timedelta64[ns] 0 days 2 days 4 days ... 204 days 206 days\n",
       "Attributes:\n",
       "    standard_name:  TRAC01\n",
       "    long_name:      Tracer 0001 concentration\n",
       "    units:          kg/kg</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'>'TRAC01'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 104</li><li><span class='xr-has-index'>Z</span>: 30</li><li><span class='xr-has-index'>YC</span>: 144</li><li><span class='xr-has-index'>XC</span>: 240</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e24d0be5-1def-40f3-8617-00439efeb445' class='xr-array-in' type='checkbox' checked><label for='section-e24d0be5-1def-40f3-8617-00439efeb445' 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=(1, 30, 144, 240), meta=np.ndarray&gt;</span></div><div class='xr-array-data'><table>\n",
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       "                <tbody>\n",
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       "                        <th> Bytes </th>\n",
       "                        <td> 411.33 MiB </td>\n",
       "                        <td> 3.96 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
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       "                        <td> (104, 30, 144, 240) </td>\n",
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       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-6f793cee-1294-4f1e-a529-78ffbb3ed3d9' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6f793cee-1294-4f1e-a529-78ffbb3ed3d9' class='xr-section-summary' >Coordinates: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>XC</span></div><div class='xr-var-dims'>(XC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 237.5 238.5 239.5</div><input id='attrs-a4b29458-c2a7-4d84-89b7-6dc2e60b1e63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4b29458-c2a7-4d84-89b7-6dc2e60b1e63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-950c98ba-ff05-4302-afae-0ab45ec2cf95' class='xr-var-data-in' type='checkbox'><label for='data-950c98ba-ff05-4302-afae-0ab45ec2cf95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 237.5, 238.5, 239.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>YC</span></div><div class='xr-var-dims'>(YC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>-71.5 -70.5 -69.5 ... 70.5 71.5</div><input id='attrs-7345a786-0fcb-4769-965a-dd600130484e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7345a786-0fcb-4769-965a-dd600130484e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d026684-245a-47a7-963f-6b3a58db0013' class='xr-var-data-in' type='checkbox'><label for='data-1d026684-245a-47a7-963f-6b3a58db0013' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-71.5, -70.5, -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5,\n",
       "       -61.5, -60.5, -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5,\n",
       "       -51.5, -50.5, -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5,\n",
       "       -41.5, -40.5, -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5,\n",
       "       -31.5, -30.5, -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5,\n",
       "       -21.5, -20.5, -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5,\n",
       "       -11.5, -10.5,  -9.5,  -8.5,  -7.5,  -6.5,  -5.5,  -4.5,  -3.5,  -2.5,\n",
       "        -1.5,  -0.5,   0.5,   1.5,   2.5,   3.5,   4.5,   5.5,   6.5,   7.5,\n",
       "         8.5,   9.5,  10.5,  11.5,  12.5,  13.5,  14.5,  15.5,  16.5,  17.5,\n",
       "        18.5,  19.5,  20.5,  21.5,  22.5,  23.5,  24.5,  25.5,  26.5,  27.5,\n",
       "        28.5,  29.5,  30.5,  31.5,  32.5,  33.5,  34.5,  35.5,  36.5,  37.5,\n",
       "        38.5,  39.5,  40.5,  41.5,  42.5,  43.5,  44.5,  45.5,  46.5,  47.5,\n",
       "        48.5,  49.5,  50.5,  51.5,  52.5,  53.5,  54.5,  55.5,  56.5,  57.5,\n",
       "        58.5,  59.5,  60.5,  61.5,  62.5,  63.5,  64.5,  65.5,  66.5,  67.5,\n",
       "        68.5,  69.5,  70.5,  71.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>Z</span></div><div class='xr-var-dims'>(Z)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>-10.0 -30.0 ... -3.875e+03</div><input id='attrs-5a80d94f-aaa1-4704-ade5-1b6edc2ec918' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5a80d94f-aaa1-4704-ade5-1b6edc2ec918' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52fe6f19-7041-4185-bda5-ed17b0eba4f1' class='xr-var-data-in' type='checkbox'><label for='data-52fe6f19-7041-4185-bda5-ed17b0eba4f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>long_name :</span></dt><dd>vertical coordinate of cell center</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([  -10. ,   -30. ,   -50. ,   -70. ,   -90. ,  -115. ,  -150. ,  -195. ,\n",
       "        -250. ,  -320. ,  -410. ,  -510. ,  -610. ,  -720. ,  -840. ,  -980. ,\n",
       "       -1140. , -1300. , -1460. , -1620. , -1800. , -2000. , -2200. , -2412.5,\n",
       "       -2637.5, -2875. , -3125. , -3375. , -3625. , -3875. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rA</span></div><div class='xr-var-dims'>(YC, XC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(144, 240), meta=np.ndarray&gt;</div><input id='attrs-d810758d-50d9-4a8e-9c81-ba7af734b339' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d810758d-50d9-4a8e-9c81-ba7af734b339' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58291ba2-c2f7-4552-830f-4a550eecb85b' class='xr-var-data-in' type='checkbox'><label for='data-58291ba2-c2f7-4552-830f-4a550eecb85b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>coordinate :</span></dt><dd>YC XC</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> 135.00 kiB </td>\n",
       "                        <td> 135.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (144, 240) </td>\n",
       "                        <td> (144, 240) </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> >f4 </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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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Depth</span></div><div class='xr-var-dims'>(YC, XC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(144, 240), meta=np.ndarray&gt;</div><input id='attrs-885642ac-7373-4c27-875a-5af47dd2b448' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-885642ac-7373-4c27-875a-5af47dd2b448' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93612a44-fac2-48f6-801a-3397d39083f6' class='xr-var-data-in' type='checkbox'><label for='data-93612a44-fac2-48f6-801a-3397d39083f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ocean_depth</dd><dt><span>long_name :</span></dt><dd>ocean depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>coordinate :</span></dt><dd>XC YC</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> 135.00 kiB </td>\n",
       "                        <td> 135.00 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (144, 240) </td>\n",
       "                        <td> (144, 240) </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> >f4 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>drF</span></div><div class='xr-var-dims'>(Z)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(30,), meta=np.ndarray&gt;</div><input id='attrs-207c94f9-90d4-4423-ac30-577632eff3cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-207c94f9-90d4-4423-ac30-577632eff3cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-214c1de7-1e7e-450d-b1f9-1c5dcc35819a' class='xr-var-data-in' type='checkbox'><label for='data-214c1de7-1e7e-450d-b1f9-1c5dcc35819a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_z_size</dd><dt><span>long_name :</span></dt><dd>cell z size</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 120 B </td>\n",
       "                        <td> 120 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (30,) </td>\n",
       "                        <td> (30,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 1 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> >f4 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
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       "            </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'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>0 days 2 days ... 204 days 206 days</div><input id='attrs-628c04cc-a469-4922-a547-2c29b37d4327' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-628c04cc-a469-4922-a547-2c29b37d4327' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45ce5d49-10e8-4671-b359-b12f029a34aa' class='xr-var-data-in' type='checkbox'><label for='data-45ce5d49-10e8-4671-b359-b12f029a34aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar :</span></dt><dd>gregorian</dd></dl></div><div class='xr-var-data'><pre>array([                0,   172800000000000,   345600000000000,\n",
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       "       17107200000000000, 17280000000000000, 17452800000000000,\n",
       "       17625600000000000, 17798400000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6ab72138-9dfc-4da4-b127-1baf70b3f31c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6ab72138-9dfc-4da4-b127-1baf70b3f31c' 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>standard_name :</span></dt><dd>TRAC01</dd><dt><span>long_name :</span></dt><dd>Tracer 0001 concentration</dd><dt><span>units :</span></dt><dd>kg/kg</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'TRAC01' (time: 104, Z: 30, YC: 144, XC: 240)>\n",
       "dask.array<concatenate, shape=(104, 30, 144, 240), dtype=float32, chunksize=(1, 30, 144, 240), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * XC       (XC) >f4 0.5 1.5 2.5 3.5 4.5 5.5 ... 235.5 236.5 237.5 238.5 239.5\n",
       "  * YC       (YC) >f4 -71.5 -70.5 -69.5 -68.5 -67.5 ... 67.5 68.5 69.5 70.5 71.5\n",
       "  * Z        (Z) >f4 -10.0 -30.0 -50.0 ... -3.375e+03 -3.625e+03 -3.875e+03\n",
       "    rA       (YC, XC) >f4 dask.array<chunksize=(144, 240), meta=np.ndarray>\n",
       "    Depth    (YC, XC) >f4 dask.array<chunksize=(144, 240), meta=np.ndarray>\n",
       "    drF      (Z) >f4 dask.array<chunksize=(30,), meta=np.ndarray>\n",
       "    PHrefC   (Z) >f4 dask.array<chunksize=(30,), meta=np.ndarray>\n",
       "    hFacC    (Z, YC, XC) >f4 dask.array<chunksize=(30, 144, 240), meta=np.ndarray>\n",
       "    maskC    (Z, YC, XC) bool dask.array<chunksize=(30, 144, 240), meta=np.ndarray>\n",
       "    rhoRef   (Z) >f4 dask.array<chunksize=(30,), meta=np.ndarray>\n",
       "    iter     (time) int64 dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "  * time     (time) timedelta64[ns] 0 days 2 days 4 days ... 204 days 206 days\n",
       "Attributes:\n",
       "    standard_name:  TRAC01\n",
       "    long_name:      Tracer 0001 concentration\n",
       "    units:          kg/kg"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_dir = \"/data2/home/liutongya/model/sun_model/MITgcm/verification/global/run_tracer_na_ex3/\"\n",
    "ds1 = open_mdsdataset(data_dir,prefix={'tracer'}).chunk()\n",
    "TRACE = ds1.TRAC01\n",
    "TRACE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6cfad9cb",
   "metadata": {},
   "outputs": [
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       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;TRAC01&#x27; (time: 100, XC: 240)&gt;\n",
       "dask.array&lt;getitem, shape=(100, 240), dtype=float32, chunksize=(1, 240), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * XC       (XC) &gt;f4 0.5 1.5 2.5 3.5 4.5 5.5 ... 235.5 236.5 237.5 238.5 239.5\n",
       "    YC       &gt;f4 -29.5\n",
       "    Z        &gt;f4 -10.0\n",
       "    rA       (XC) &gt;f4 dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;\n",
       "    Depth    (XC) &gt;f4 dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;\n",
       "    drF      &gt;f4 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
       "    PHrefC   &gt;f4 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
       "    hFacC    (XC) &gt;f4 dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;\n",
       "    maskC    (XC) bool dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;\n",
       "    rhoRef   &gt;f4 dask.array&lt;chunksize=(), meta=np.ndarray&gt;\n",
       "    iter     (time) int64 dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;\n",
       "  * time     (time) timedelta64[ns] 0 days 2 days 4 days ... 196 days 198 days\n",
       "Attributes:\n",
       "    standard_name:  TRAC01\n",
       "    long_name:      Tracer 0001 concentration\n",
       "    units:          kg/kg</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'>'TRAC01'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 100</li><li><span class='xr-has-index'>XC</span>: 240</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a80fa2dc-2e5b-45d1-bb45-03ede59ffe8f' class='xr-array-in' type='checkbox' checked><label for='section-a80fa2dc-2e5b-45d1-bb45-03ede59ffe8f' 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=(1, 240), 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> 93.75 kiB </td>\n",
       "                        <td> 0.94 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (100, 240) </td>\n",
       "                        <td> (1, 240) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 695 Tasks </td>\n",
       "                        <td> 100 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=\"100\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
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       "  <line x1=\"0\" y1=\"5\" x2=\"120\" y2=\"5\" />\n",
       "  <line x1=\"0\" y1=\"7\" x2=\"120\" y2=\"7\" />\n",
       "  <line x1=\"0\" y1=\"10\" x2=\"120\" y2=\"10\" />\n",
       "  <line x1=\"0\" y1=\"13\" x2=\"120\" y2=\"13\" />\n",
       "  <line x1=\"0\" y1=\"15\" x2=\"120\" y2=\"15\" />\n",
       "  <line x1=\"0\" y1=\"18\" x2=\"120\" y2=\"18\" />\n",
       "  <line x1=\"0\" y1=\"21\" x2=\"120\" y2=\"21\" />\n",
       "  <line x1=\"0\" y1=\"23\" x2=\"120\" y2=\"23\" />\n",
       "  <line x1=\"0\" y1=\"26\" x2=\"120\" y2=\"26\" />\n",
       "  <line x1=\"0\" y1=\"28\" x2=\"120\" y2=\"28\" />\n",
       "  <line x1=\"0\" y1=\"31\" x2=\"120\" y2=\"31\" />\n",
       "  <line x1=\"0\" y1=\"34\" x2=\"120\" y2=\"34\" />\n",
       "  <line x1=\"0\" y1=\"36\" x2=\"120\" y2=\"36\" />\n",
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       "\n",
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       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"50\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"50\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,50.0 0.0,50.0\" style=\"fill:#8B4903A0;stroke-width:0\"/>\n",
       "\n",
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       "  <text x=\"60.000000\" y=\"70.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >240</text>\n",
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       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-10c4e5ef-27a1-41d2-84ec-bc718c8c911a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-10c4e5ef-27a1-41d2-84ec-bc718c8c911a' class='xr-section-summary' >Coordinates: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>XC</span></div><div class='xr-var-dims'>(XC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>0.5 1.5 2.5 ... 237.5 238.5 239.5</div><input id='attrs-eee55df4-a1a7-4660-a3b2-7578a1f99a10' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eee55df4-a1a7-4660-a3b2-7578a1f99a10' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56e7f54a-54a2-4441-95fc-eab329f9b781' class='xr-var-data-in' type='checkbox'><label for='data-56e7f54a-54a2-4441-95fc-eab329f9b781' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.5,   1.5,   2.5, ..., 237.5, 238.5, 239.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>YC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>-29.5</div><input id='attrs-34a3527d-b279-40f1-adea-e8cb66b3f671' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-34a3527d-b279-40f1-adea-e8cb66b3f671' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07c2e181-b962-409d-a7ab-94f998dc119f' class='xr-var-data-in' type='checkbox'><label for='data-07c2e181-b962-409d-a7ab-94f998dc119f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>coordinate :</span></dt><dd>YC XC</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array(-29.5, dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Z</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>-10.0</div><input id='attrs-441408b4-98b6-453d-9a3d-1da860c24ce2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-441408b4-98b6-453d-9a3d-1da860c24ce2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a9a41b9-98f1-40ac-ace3-74451b877a1b' class='xr-var-data-in' type='checkbox'><label for='data-3a9a41b9-98f1-40ac-ace3-74451b877a1b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>depth</dd><dt><span>long_name :</span></dt><dd>vertical coordinate of cell center</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(-10., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rA</span></div><div class='xr-var-dims'>(XC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;</div><input id='attrs-d30f26a9-f98e-4a06-bdf2-9928f213c042' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d30f26a9-f98e-4a06-bdf2-9928f213c042' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba65dcf4-fd6b-4e3b-8657-3dc9b2c6dd2f' class='xr-var-data-in' type='checkbox'><label for='data-ba65dcf4-fd6b-4e3b-8657-3dc9b2c6dd2f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_area</dd><dt><span>long_name :</span></dt><dd>cell area</dd><dt><span>units :</span></dt><dd>m2</dd><dt><span>coordinate :</span></dt><dd>YC XC</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> 0.94 kiB </td>\n",
       "                        <td> 0.94 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240,) </td>\n",
       "                        <td> (240,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> >f4 </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",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\n",
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       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"25\" style=\"stroke-width:2\" />\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>Depth</span></div><div class='xr-var-dims'>(XC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;</div><input id='attrs-f984708a-8484-4200-838f-38e8c368abcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f984708a-8484-4200-838f-38e8c368abcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89882a62-d1df-48f3-bffd-bc42e66b487a' class='xr-var-data-in' type='checkbox'><label for='data-89882a62-d1df-48f3-bffd-bc42e66b487a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>ocean_depth</dd><dt><span>long_name :</span></dt><dd>ocean depth</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>coordinate :</span></dt><dd>XC YC</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> 0.94 kiB </td>\n",
       "                        <td> 0.94 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240,) </td>\n",
       "                        <td> (240,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> >f4 </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>drF</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-b2941409-740c-4ca4-a8e0-d55982771b9e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2941409-740c-4ca4-a8e0-d55982771b9e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a2e9cea-b17f-48df-9f43-35a3f214d48b' class='xr-var-data-in' type='checkbox'><label for='data-5a2e9cea-b17f-48df-9f43-35a3f214d48b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_z_size</dd><dt><span>long_name :</span></dt><dd>cell z size</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 4 B </td>\n",
       "                        <td> 4.0 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> () </td>\n",
       "                        <td> () </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> >f4 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        \n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>PHrefC</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-0f9fb522-84c0-4934-bd36-60b6fbcccdca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f9fb522-84c0-4934-bd36-60b6fbcccdca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34705bce-32c6-4b7c-8514-fe1b4ea0eafe' class='xr-var-data-in' type='checkbox'><label for='data-34705bce-32c6-4b7c-8514-fe1b4ea0eafe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_reference_pressure</dd><dt><span>long_name :</span></dt><dd>Reference Hydrostatic Pressure</dd><dt><span>units :</span></dt><dd>m2 s-2</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table>\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 4 B </td>\n",
       "                        <td> 4.0 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> () </td>\n",
       "                        <td> () </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> >f4 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        \n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hFacC</span></div><div class='xr-var-dims'>(XC)</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;</div><input id='attrs-f7a16932-7757-42da-8db7-ee5fbbc0298d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7a16932-7757-42da-8db7-ee5fbbc0298d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d728bb3-59c4-4ca6-bb08-ed9c7a434f4d' class='xr-var-data-in' type='checkbox'><label for='data-2d728bb3-59c4-4ca6-bb08-ed9c7a434f4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>cell_vertical_fraction</dd><dt><span>long_name :</span></dt><dd>vertical fraction of open cell</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> 0.94 kiB </td>\n",
       "                        <td> 0.94 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240,) </td>\n",
       "                        <td> (240,) </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> >f4 </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>maskC</span></div><div class='xr-var-dims'>(XC)</div><div class='xr-var-dtype'>bool</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(240,), meta=np.ndarray&gt;</div><input id='attrs-d527054d-9c17-4838-bc12-3d4841a43505' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d527054d-9c17-4838-bc12-3d4841a43505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-055d52ca-c07c-4fc3-a900-dec6d4658860' class='xr-var-data-in' type='checkbox'><label for='data-055d52ca-c07c-4fc3-a900-dec6d4658860' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>sea_binary_mask_at_t_location</dd><dt><span>long_name :</span></dt><dd>mask denoting wet point at center</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> 240 B </td>\n",
       "                        <td> 240 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (240,) </td>\n",
       "                        <td> (240,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Tasks </td>\n",
       "                        <td> 1 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> bool </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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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>rhoRef</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>&gt;f4</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(), meta=np.ndarray&gt;</div><input id='attrs-3cb37eab-2fd9-47a8-854d-b0714313e57d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cb37eab-2fd9-47a8-854d-b0714313e57d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-66614274-2a49-409a-afdb-4dfa0cc35acd' class='xr-var-data-in' type='checkbox'><label for='data-66614274-2a49-409a-afdb-4dfa0cc35acd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>reference_density_profile</dd><dt><span>long_name :</span></dt><dd>1D, vertical reference density profile</dd><dt><span>coordinate :</span></dt><dd>Z</dd><dt><span>units :</span></dt><dd>kg m-3</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> 4 B </td>\n",
       "                        <td> 4.0 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> () </td>\n",
       "                        <td> () </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> >f4 </td>\n",
       "                    <td> numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        \n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>iter</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1,), meta=np.ndarray&gt;</div><input id='attrs-8ef3aa0d-2e4d-4a37-a489-97ad07f6bfe1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ef3aa0d-2e4d-4a37-a489-97ad07f6bfe1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8371f503-2996-4ddb-9d14-af38948947fe' class='xr-var-data-in' type='checkbox'><label for='data-8371f503-2996-4ddb-9d14-af38948947fe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>timestep</dd><dt><span>long_name :</span></dt><dd>model timestep number</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> 800 B </td>\n",
       "                        <td> 8 B </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (100,) </td>\n",
       "                        <td> (1,) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 338 Tasks </td>\n",
       "                        <td> 100 Chunks </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                    <th> Type </th>\n",
       "                    <td> int64 </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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       "</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'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>0 days 2 days ... 196 days 198 days</div><input id='attrs-4013a83f-3521-4bf9-8e37-92eab16f4803' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4013a83f-3521-4bf9-8e37-92eab16f4803' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-79fe8dca-dcef-4365-b1c9-45e2388a73b5' class='xr-var-data-in' type='checkbox'><label for='data-79fe8dca-dcef-4365-b1c9-45e2388a73b5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>calendar :</span></dt><dd>gregorian</dd></dl></div><div class='xr-var-data'><pre>array([                0,   172800000000000,   345600000000000,\n",
       "         518400000000000,   691200000000000,   864000000000000,\n",
       "        1036800000000000,  1209600000000000,  1382400000000000,\n",
       "        1555200000000000,  1728000000000000,  1900800000000000,\n",
       "        2073600000000000,  2246400000000000,  2419200000000000,\n",
       "        2592000000000000,  2764800000000000,  2937600000000000,\n",
       "        3110400000000000,  3283200000000000,  3456000000000000,\n",
       "        3628800000000000,  3801600000000000,  3974400000000000,\n",
       "        4147200000000000,  4320000000000000,  4492800000000000,\n",
       "        4665600000000000,  4838400000000000,  5011200000000000,\n",
       "        5184000000000000,  5356800000000000,  5529600000000000,\n",
       "        5702400000000000,  5875200000000000,  6048000000000000,\n",
       "        6220800000000000,  6393600000000000,  6566400000000000,\n",
       "        6739200000000000,  6912000000000000,  7084800000000000,\n",
       "        7257600000000000,  7430400000000000,  7603200000000000,\n",
       "        7776000000000000,  7948800000000000,  8121600000000000,\n",
       "        8294400000000000,  8467200000000000,  8640000000000000,\n",
       "        8812800000000000,  8985600000000000,  9158400000000000,\n",
       "        9331200000000000,  9504000000000000,  9676800000000000,\n",
       "        9849600000000000, 10022400000000000, 10195200000000000,\n",
       "       10368000000000000, 10540800000000000, 10713600000000000,\n",
       "       10886400000000000, 11059200000000000, 11232000000000000,\n",
       "       11404800000000000, 11577600000000000, 11750400000000000,\n",
       "       11923200000000000, 12096000000000000, 12268800000000000,\n",
       "       12441600000000000, 12614400000000000, 12787200000000000,\n",
       "       12960000000000000, 13132800000000000, 13305600000000000,\n",
       "       13478400000000000, 13651200000000000, 13824000000000000,\n",
       "       13996800000000000, 14169600000000000, 14342400000000000,\n",
       "       14515200000000000, 14688000000000000, 14860800000000000,\n",
       "       15033600000000000, 15206400000000000, 15379200000000000,\n",
       "       15552000000000000, 15724800000000000, 15897600000000000,\n",
       "       16070400000000000, 16243200000000000, 16416000000000000,\n",
       "       16588800000000000, 16761600000000000, 16934400000000000,\n",
       "       17107200000000000], dtype=&#x27;timedelta64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8e4d9409-a498-4e47-9d89-37e5b42584f2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-8e4d9409-a498-4e47-9d89-37e5b42584f2' 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>standard_name :</span></dt><dd>TRAC01</dd><dt><span>long_name :</span></dt><dd>Tracer 0001 concentration</dd><dt><span>units :</span></dt><dd>kg/kg</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'TRAC01' (time: 100, XC: 240)>\n",
       "dask.array<getitem, shape=(100, 240), dtype=float32, chunksize=(1, 240), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * XC       (XC) >f4 0.5 1.5 2.5 3.5 4.5 5.5 ... 235.5 236.5 237.5 238.5 239.5\n",
       "    YC       >f4 -29.5\n",
       "    Z        >f4 -10.0\n",
       "    rA       (XC) >f4 dask.array<chunksize=(240,), meta=np.ndarray>\n",
       "    Depth    (XC) >f4 dask.array<chunksize=(240,), meta=np.ndarray>\n",
       "    drF      >f4 dask.array<chunksize=(), meta=np.ndarray>\n",
       "    PHrefC   >f4 dask.array<chunksize=(), meta=np.ndarray>\n",
       "    hFacC    (XC) >f4 dask.array<chunksize=(240,), meta=np.ndarray>\n",
       "    maskC    (XC) bool dask.array<chunksize=(240,), meta=np.ndarray>\n",
       "    rhoRef   >f4 dask.array<chunksize=(), meta=np.ndarray>\n",
       "    iter     (time) int64 dask.array<chunksize=(1,), meta=np.ndarray>\n",
       "  * time     (time) timedelta64[ns] 0 days 2 days 4 days ... 196 days 198 days\n",
       "Attributes:\n",
       "    standard_name:  TRAC01\n",
       "    long_name:      Tracer 0001 concentration\n",
       "    units:          kg/kg"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#READ SURFACE TRACER of the deep Atlantic ocean\n",
    "# T=3\n",
    "data_dir = \"/data2/home/liutongya/model/sun_model/MITgcm/verification/global/run_tracer_na_ex3/\"\n",
    "ds1 = open_mdsdataset(data_dir,prefix={'tracer'}).chunk()\n",
    "tracer3 = ds1.TRAC01[0:100,0,42,:] \n",
    "# T= 2\n",
    "data_dir = \"/data2/home/liutongya/model/sun_model/MITgcm/verification/global/run_tracer_na_ex2/\"\n",
    "ds1 = open_mdsdataset(data_dir,prefix={'tracer'}).chunk()\n",
    "tracer2 = ds1.TRAC01[0:100,0,42,:]\n",
    "# T=1\n",
    "data_dir = \"/data2/home/liutongya/model/sun_model/MITgcm/verification/global/run_tracer_na/\"\n",
    "ds1 = open_mdsdataset(data_dir,prefix={'tracer'}).chunk()\n",
    "tracer1 = ds1.TRAC01[0:100,0,42,:]\n",
    "tracer1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "aa6f04b6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/data/home/zsp/.conda/envs/lfy/lib/python3.7/site-packages/ipykernel_launcher.py:24: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "/data/home/zsp/.conda/envs/lfy/lib/python3.7/site-packages/ipykernel_launcher.py:25: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "/data/home/zsp/.conda/envs/lfy/lib/python3.7/site-packages/ipykernel_launcher.py:26: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "/data/home/zsp/.conda/envs/lfy/lib/python3.7/site-packages/ipykernel_launcher.py:27: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "/data/home/zsp/.conda/envs/lfy/lib/python3.7/site-packages/ipykernel_launcher.py:28: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "/data/home/zsp/.conda/envs/lfy/lib/python3.7/site-packages/ipykernel_launcher.py:29: UserWarning: FixedFormatter should only be used together with FixedLocator\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# time seriers\n",
    "fig1 = plt.figure(figsize=(12, 6))\n",
    "ax1=fig1.add_axes([0.1,0.7,0.42,0.2]) #左、底、宽、高\n",
    "ax2=fig1.add_axes([0.1,0.4,0.42,0.2]) #左、底、宽、高\n",
    "ax3=fig1.add_axes([0.1,0.1,0.42,0.2]) #左、底、宽、高\n",
    "\n",
    "t1 = tracer1.mean('XC')\n",
    "t2 = tracer2.mean('XC')\n",
    "t3 = tracer3.mean('XC')\n",
    "\n",
    "yy = np.arange(0.5, 100, 1)\n",
    "ax1.plot(yy,t1, 'k-', linewidth=2, label='W0')\n",
    "ax2.plot(yy,t2, 'k-', linewidth=2, label='W0')\n",
    "ax3.plot(yy,t3, 'k-', linewidth=2, label='W0')\n",
    "\n",
    "ax1.set_ylim(0,0.5)\n",
    "ax2.set_ylim(0,1.)\n",
    "ax3.set_ylim(0,1.5)\n",
    "\n",
    "ax1.set_xlim(0,100)\n",
    "ax2.set_xlim(0,100)\n",
    "ax3.set_xlim(0,100)\n",
    "\n",
    "ax1.set_xticklabels(np.arange(0, 121, 20))\n",
    "ax1.set_xticklabels(np.arange(0, 1001, 200))\n",
    "ax2.set_xticklabels(np.arange(0, 121, 20))\n",
    "ax2.set_xticklabels(np.arange(0, 1001, 200))\n",
    "ax3.set_xticklabels(np.arange(0, 121, 20))\n",
    "ax3.set_xticklabels(np.arange(0, 1001, 200))\n",
    "\n",
    "ax1.set_xlabel('Year')\n",
    "ax2.set_xlabel('Year')\n",
    "ax3.set_xlabel('Year')\n",
    "# fig1.colorbar(h1,ax=ax1)\n",
    "# fig1.colorbar(h2,ax=ax2)\n",
    "# fig1.colorbar(h3,ax=ax3)\n",
    "\n",
    "ax1.text(0, 0.55, '(a)tracer 1', size=10)\n",
    "ax2.text(0, 1.05, '(b)tracer 2', size=10)\n",
    "ax3.text(0, 1.55, '(c)tracer 3', size=10)\n",
    "\n",
    "# plt.xlim(0, 240)\n",
    "\n",
    "# x_ticks = np.arange(0, 240, 60)\n",
    "# y_ticks = np.arange(10, 140, 30)\n",
    "# ax1.set_yticks(y_ticks)\n",
    "# ax1.set_yticklabels(['60S','30S','0','30N','60N'],fontsize=10)\n",
    "\n",
    "fig1.savefig('MITgcm_timescale.pdf',format='pdf',dpi=300)#输出"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d3745da4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2394383a",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c55008d3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfb2c6be",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}