{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The observed circulation\n",
    "\n",
    "... work in progress."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "import cartopy.crs as ccrs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The CFSR climatology datasets\n",
    "\n",
    "We pre-computed 30-year seasonal and monthly climatologies from the 6-hourly CFSR dataset, see [Computing seasonal and monthly means from CFSR data](computing-seasonal.html).\n",
    "\n",
    "Here we'll use those datasets to make some nice reference figures."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "local_path = '/nfs/roselab_rit/data/cfsr_climatology/'\n",
    "\n",
    "path = local_path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the seasonal data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 361, lon: 720, lev: 40, season: 4)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * season   (season) object &#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;\n",
       "Data variables:\n",
       "    g        (season, lev, lat, lon) float32 dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    pmsl     (season, lat, lon) float32 dask.array&lt;chunksize=(4, 361, 720), meta=np.ndarray&gt;\n",
       "    pwat     (season, lat, lon) float32 dask.array&lt;chunksize=(4, 361, 720), meta=np.ndarray&gt;\n",
       "    q        (season, lev, lat, lon) float32 dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    t        (season, lev, lat, lon) float32 dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    tsfc     (season, lat, lon) float32 dask.array&lt;chunksize=(4, 361, 720), meta=np.ndarray&gt;\n",
       "    u        (season, lev, lat, lon) float32 dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    v        (season, lev, lat, lon) float32 dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    w        (season, lev, lat, lon) float32 dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;</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-ada432c0-dff1-47c5-a4b3-65e995a367bf' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ada432c0-dff1-47c5-a4b3-65e995a367bf' 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'>lat</span>: 361</li><li><span class='xr-has-index'>lon</span>: 720</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>season</span>: 4</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-521c0d3d-de9b-4d2c-ba33-18d3d567a3e8' class='xr-section-summary-in' type='checkbox'  checked><label for='section-521c0d3d-de9b-4d2c-ba33-18d3d567a3e8' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-e9417e77-7032-4c91-a188-20d210ea2f25' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9417e77-7032-4c91-a188-20d210ea2f25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd16eb7f-e603-46f5-986d-e2d1ac3b0ebd' class='xr-var-data-in' type='checkbox'><label for='data-cd16eb7f-e603-46f5-986d-e2d1ac3b0ebd' 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([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.5 ... 179.0 179.5</div><input id='attrs-0b5a9527-2a62-4275-98c6-f576188fd7d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0b5a9527-2a62-4275-98c6-f576188fd7d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-96d629a3-3dd8-4e9f-9130-274e54fc9c6b' class='xr-var-data-in' type='checkbox'><label for='data-96d629a3-3dd8-4e9f-9130-274e54fc9c6b' 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([-180. , -179.5, -179. , ...,  178.5,  179. ,  179.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-2e-06 2e-06 10.0 ... 975.0 1e+03</div><input id='attrs-b9842ee6-fcbb-4861-95d7-c1292f867261' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b9842ee6-fcbb-4861-95d7-c1292f867261' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9695320-351c-4aad-b575-0723605ee5c5' class='xr-var-data-in' type='checkbox'><label for='data-f9695320-351c-4aad-b575-0723605ee5c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2.00e-06,  2.00e-06,  1.00e+01,  2.00e+01,  3.00e+01,  5.00e+01,\n",
       "        7.00e+01,  1.00e+02,  1.25e+02,  1.50e+02,  1.75e+02,  2.00e+02,\n",
       "        2.25e+02,  2.50e+02,  2.70e+02,  2.80e+02,  2.90e+02,  3.00e+02,\n",
       "        3.10e+02,  3.20e+02,  3.30e+02,  3.50e+02,  4.00e+02,  4.50e+02,\n",
       "        5.00e+02,  5.50e+02,  6.00e+02,  6.50e+02,  7.00e+02,  7.50e+02,\n",
       "        7.75e+02,  8.00e+02,  8.25e+02,  8.50e+02,  8.75e+02,  9.00e+02,\n",
       "        9.25e+02,  9.50e+02,  9.75e+02,  1.00e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-ba5bbb58-64ea-4d10-8a98-29fd44317d21' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ba5bbb58-64ea-4d10-8a98-29fd44317d21' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd83fb29-378f-48ce-af5f-1dc2464b314c' class='xr-var-data-in' type='checkbox'><label for='data-dd83fb29-378f-48ce-af5f-1dc2464b314c' 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([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d5182261-cafc-4a9a-be05-2cd959e4ec52' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d5182261-cafc-4a9a-be05-2cd959e4ec52' class='xr-section-summary' >Data variables: <span>(9)</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>g</span></div><div class='xr-var-dims'>(season, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-7080b24e-6cbc-49eb-8503-1488e1531c58' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7080b24e-6cbc-49eb-8503-1488e1531c58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e0f4a3a-d0b4-4443-9450-09b43530000c' class='xr-var-data-in' type='checkbox'><label for='data-7e0f4a3a-d0b4-4443-9450-09b43530000c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 158.64 MiB </td>\n",
       "                        <td> 158.64 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"380\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
       "  <text x=\"45.412617\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,45.412617,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"95\" y1=\"60\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"95\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 115.67342854737377,20.673428547373774 115.67342854737377,80.84009521404043 95.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"215\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"215\" y1=\"0\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 215.0,0.0 235.67342854737376,20.673428547373774 115.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"80\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"235\" y1=\"20\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"115.67342854737377,20.673428547373774 235.67342854737376,20.673428547373774 235.67342854737376,80.84009521404043 115.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"175.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"255.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,255.673429,50.756762)\">361</text>\n",
       "  <text x=\"95.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,95.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pmsl</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-46a98b0f-4461-4161-b8ca-801774e95eed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-46a98b0f-4461-4161-b8ca-801774e95eed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcb359c8-903d-4150-8f44-9bb8a4c87ae1' class='xr-var-data-in' type='checkbox'><label for='data-dcb359c8-903d-4150-8f44-9bb8a4c87ae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 3.97 MiB </td>\n",
       "                        <td> 3.97 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 361, 720) </td>\n",
       "                        <td> (4, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"194\" height=\"125\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,75.11526461642106 10.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"75\" x2=\"144\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,75.11526461642106 24.9485979497544,75.11526461642106\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"84.948598\" y=\"95.115265\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"164.948598\" y=\"45.031931\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,45.031931)\">361</text>\n",
       "  <text x=\"7.474299\" y=\"87.640966\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,87.640966)\">4</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pwat</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-f8e8df7b-ea1d-4e35-8657-2b6f5b26b585' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f8e8df7b-ea1d-4e35-8657-2b6f5b26b585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c07db88e-785b-4c98-81ca-04e89e7acb62' class='xr-var-data-in' type='checkbox'><label for='data-c07db88e-785b-4c98-81ca-04e89e7acb62' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 3.97 MiB </td>\n",
       "                        <td> 3.97 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 361, 720) </td>\n",
       "                        <td> (4, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"194\" height=\"125\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,75.11526461642106 10.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"75\" x2=\"144\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,75.11526461642106 24.9485979497544,75.11526461642106\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"84.948598\" y=\"95.115265\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"164.948598\" y=\"45.031931\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,45.031931)\">361</text>\n",
       "  <text x=\"7.474299\" y=\"87.640966\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,87.640966)\">4</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(season, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-1b9f6d5b-14e1-44a2-997c-ed89e28779b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b9f6d5b-14e1-44a2-997c-ed89e28779b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43fc3eed-ad2c-40c1-8639-e1c38e9518d1' class='xr-var-data-in' type='checkbox'><label for='data-43fc3eed-ad2c-40c1-8639-e1c38e9518d1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 158.64 MiB </td>\n",
       "                        <td> 158.64 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"380\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
       "  <text x=\"45.412617\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,45.412617,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"95\" y1=\"60\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"95\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 115.67342854737377,20.673428547373774 115.67342854737377,80.84009521404043 95.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"215\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"215\" y1=\"0\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 215.0,0.0 235.67342854737376,20.673428547373774 115.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"80\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"235\" y1=\"20\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"115.67342854737377,20.673428547373774 235.67342854737376,20.673428547373774 235.67342854737376,80.84009521404043 115.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"175.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"255.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,255.673429,50.756762)\">361</text>\n",
       "  <text x=\"95.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,95.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(season, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-6f55ebdd-da50-4325-a95d-ce60894af5da' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6f55ebdd-da50-4325-a95d-ce60894af5da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce90b005-c6dd-409b-a737-608b433060f3' class='xr-var-data-in' type='checkbox'><label for='data-ce90b005-c6dd-409b-a737-608b433060f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 158.64 MiB </td>\n",
       "                        <td> 158.64 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 16 Graph Layers </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",
       "        <svg width=\"380\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
       "  <text x=\"45.412617\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,45.412617,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"95\" y1=\"60\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"95\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 115.67342854737377,20.673428547373774 115.67342854737377,80.84009521404043 95.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"215\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"215\" y1=\"0\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 215.0,0.0 235.67342854737376,20.673428547373774 115.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"80\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"235\" y1=\"20\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"115.67342854737377,20.673428547373774 235.67342854737376,20.673428547373774 235.67342854737376,80.84009521404043 115.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"175.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"255.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,255.673429,50.756762)\">361</text>\n",
       "  <text x=\"95.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,95.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tsfc</span></div><div class='xr-var-dims'>(season, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-3ede06f0-e2ac-4c94-8b22-07b6633d97d7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-3ede06f0-e2ac-4c94-8b22-07b6633d97d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b1070a6-6fdc-4316-9ed7-b77516652ba5' class='xr-var-data-in' type='checkbox'><label for='data-2b1070a6-6fdc-4316-9ed7-b77516652ba5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 3.97 MiB </td>\n",
       "                        <td> 3.97 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 361, 720) </td>\n",
       "                        <td> (4, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"194\" height=\"125\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 24.9485979497544,14.948597949754403 24.9485979497544,75.11526461642106 10.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"24\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 144.9485979497544,14.948597949754403 24.9485979497544,14.948597949754403\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"144\" y2=\"14\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"24\" y1=\"75\" x2=\"144\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"24\" y1=\"14\" x2=\"24\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"144\" y1=\"14\" x2=\"144\" y2=\"75\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"24.9485979497544,14.948597949754403 144.9485979497544,14.948597949754403 144.9485979497544,75.11526461642106 24.9485979497544,75.11526461642106\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"84.948598\" y=\"95.115265\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"164.948598\" y=\"45.031931\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,164.948598,45.031931)\">361</text>\n",
       "  <text x=\"7.474299\" y=\"87.640966\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.474299,87.640966)\">4</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(season, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-1b76e3f6-05ce-471a-8fe9-d839c0fb5080' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1b76e3f6-05ce-471a-8fe9-d839c0fb5080' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-205d9b19-8521-4709-87c8-3bf9c8434709' class='xr-var-data-in' type='checkbox'><label for='data-205d9b19-8521-4709-87c8-3bf9c8434709' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 158.64 MiB </td>\n",
       "                        <td> 158.64 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"380\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
       "  <text x=\"45.412617\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,45.412617,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"95\" y1=\"60\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"95\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 115.67342854737377,20.673428547373774 115.67342854737377,80.84009521404043 95.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"215\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"215\" y1=\"0\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 215.0,0.0 235.67342854737376,20.673428547373774 115.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"80\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"235\" y1=\"20\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"115.67342854737377,20.673428547373774 235.67342854737376,20.673428547373774 235.67342854737376,80.84009521404043 115.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"175.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"255.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,255.673429,50.756762)\">361</text>\n",
       "  <text x=\"95.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,95.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(season, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-d2eab570-fccd-4a97-a63f-378f6d2eaae7' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d2eab570-fccd-4a97-a63f-378f6d2eaae7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-be52eb12-493a-49f4-bbc8-6189dc4f95e0' class='xr-var-data-in' type='checkbox'><label for='data-be52eb12-493a-49f4-bbc8-6189dc4f95e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 158.64 MiB </td>\n",
       "                        <td> 158.64 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"380\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
       "  <text x=\"45.412617\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,45.412617,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"95\" y1=\"60\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"95\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 115.67342854737377,20.673428547373774 115.67342854737377,80.84009521404043 95.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"215\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"215\" y1=\"0\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 215.0,0.0 235.67342854737376,20.673428547373774 115.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"80\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"235\" y1=\"20\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"115.67342854737377,20.673428547373774 235.67342854737376,20.673428547373774 235.67342854737376,80.84009521404043 115.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"175.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"255.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,255.673429,50.756762)\">361</text>\n",
       "  <text x=\"95.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,95.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w</span></div><div class='xr-var-dims'>(season, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(4, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-4a4e2ef7-02d2-4294-a1a0-7f9eae6baeb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4a4e2ef7-02d2-4294-a1a0-7f9eae6baeb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c39b2b3-1434-4598-8ce5-7dcb4219c623' class='xr-var-data-in' type='checkbox'><label for='data-6c39b2b3-1434-4598-8ce5-7dcb4219c623' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 158.64 MiB </td>\n",
       "                        <td> 158.64 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                        <td> (4, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"380\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"25\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"0\" x2=\"25\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 25.412616514582485,0.0 25.412616514582485,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"12.706308\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >4</text>\n",
       "  <text x=\"45.412617\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,45.412617,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"95\" y1=\"60\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"95\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 115.67342854737377,20.673428547373774 115.67342854737377,80.84009521404043 95.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"215\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"95\" y1=\"0\" x2=\"115\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"215\" y1=\"0\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"95.0,0.0 215.0,0.0 235.67342854737376,20.673428547373774 115.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"235\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"115\" y1=\"80\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"115\" y1=\"20\" x2=\"115\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"235\" y1=\"20\" x2=\"235\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"115.67342854737377,20.673428547373774 235.67342854737376,20.673428547373774 235.67342854737376,80.84009521404043 115.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"175.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"255.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,255.673429,50.756762)\">361</text>\n",
       "  <text x=\"95.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,95.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-f7363a7e-494e-422a-8a00-98f3e15b52cb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f7363a7e-494e-422a-8a00-98f3e15b52cb' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 361, lon: 720, lev: 40, season: 4)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * season   (season) object 'DJF' 'JJA' 'MAM' 'SON'\n",
       "Data variables:\n",
       "    g        (season, lev, lat, lon) float32 dask.array<chunksize=(4, 40, 361, 720), meta=np.ndarray>\n",
       "    pmsl     (season, lat, lon) float32 dask.array<chunksize=(4, 361, 720), meta=np.ndarray>\n",
       "    pwat     (season, lat, lon) float32 dask.array<chunksize=(4, 361, 720), meta=np.ndarray>\n",
       "    q        (season, lev, lat, lon) float32 dask.array<chunksize=(4, 40, 361, 720), meta=np.ndarray>\n",
       "    t        (season, lev, lat, lon) float32 dask.array<chunksize=(4, 40, 361, 720), meta=np.ndarray>\n",
       "    tsfc     (season, lat, lon) float32 dask.array<chunksize=(4, 361, 720), meta=np.ndarray>\n",
       "    u        (season, lev, lat, lon) float32 dask.array<chunksize=(4, 40, 361, 720), meta=np.ndarray>\n",
       "    v        (season, lev, lat, lon) float32 dask.array<chunksize=(4, 40, 361, 720), meta=np.ndarray>\n",
       "    w        (season, lev, lat, lon) float32 dask.array<chunksize=(4, 40, 361, 720), meta=np.ndarray>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cfsr_seas = xr.open_mfdataset(path + '*' + '.seas_clim.0p5.nc')\n",
    "cfsr_seas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and the monthly data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (lat: 361, lon: 720, lev: 40, month: 12)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    g        (month, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    pmsl     (month, lat, lon) float32 dask.array&lt;chunksize=(12, 361, 720), meta=np.ndarray&gt;\n",
       "    pwat     (month, lat, lon) float32 dask.array&lt;chunksize=(12, 361, 720), meta=np.ndarray&gt;\n",
       "    q        (month, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    t        (month, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    tsfc     (month, lat, lon) float32 dask.array&lt;chunksize=(12, 361, 720), meta=np.ndarray&gt;\n",
       "    u        (month, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    v        (month, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;\n",
       "    w        (month, lev, lat, lon) float32 dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;</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-2f15f0bc-27a6-4e74-93f4-ee08e8aceadb' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2f15f0bc-27a6-4e74-93f4-ee08e8aceadb' 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'>lat</span>: 361</li><li><span class='xr-has-index'>lon</span>: 720</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>month</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-c0bb1265-044f-41ff-8276-37f6fc7d814c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c0bb1265-044f-41ff-8276-37f6fc7d814c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-90ba3a41-249b-4065-8ccc-bfac87a323e4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-90ba3a41-249b-4065-8ccc-bfac87a323e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-741d87e9-f2b9-402c-958f-0e0fd4ef9ab6' class='xr-var-data-in' type='checkbox'><label for='data-741d87e9-f2b9-402c-958f-0e0fd4ef9ab6' 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([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-180.0 -179.5 ... 179.0 179.5</div><input id='attrs-e4e268f6-bb9a-4ffe-b621-e35630566ef0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4e268f6-bb9a-4ffe-b621-e35630566ef0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd7aad7f-4f66-45c9-a1f4-47523d32910c' class='xr-var-data-in' type='checkbox'><label for='data-dd7aad7f-4f66-45c9-a1f4-47523d32910c' 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([-180. , -179.5, -179. , ...,  178.5,  179. ,  179.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-2e-06 2e-06 10.0 ... 975.0 1e+03</div><input id='attrs-e2f461c4-7214-46d4-af23-711324e7e919' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e2f461c4-7214-46d4-af23-711324e7e919' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-699d23b2-2378-4841-a27d-514a2cdbdd55' class='xr-var-data-in' type='checkbox'><label for='data-699d23b2-2378-4841-a27d-514a2cdbdd55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2.00e-06,  2.00e-06,  1.00e+01,  2.00e+01,  3.00e+01,  5.00e+01,\n",
       "        7.00e+01,  1.00e+02,  1.25e+02,  1.50e+02,  1.75e+02,  2.00e+02,\n",
       "        2.25e+02,  2.50e+02,  2.70e+02,  2.80e+02,  2.90e+02,  3.00e+02,\n",
       "        3.10e+02,  3.20e+02,  3.30e+02,  3.50e+02,  4.00e+02,  4.50e+02,\n",
       "        5.00e+02,  5.50e+02,  6.00e+02,  6.50e+02,  7.00e+02,  7.50e+02,\n",
       "        7.75e+02,  8.00e+02,  8.25e+02,  8.50e+02,  8.75e+02,  9.00e+02,\n",
       "        9.25e+02,  9.50e+02,  9.75e+02,  1.00e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>month</span></div><div class='xr-var-dims'>(month)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1 2 3 4 5 6 7 8 9 10 11 12</div><input id='attrs-d4669bc8-353e-4b83-ad5a-4257c941bf58' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d4669bc8-353e-4b83-ad5a-4257c941bf58' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e004a54-ef94-451b-9938-4fe426125ff0' class='xr-var-data-in' type='checkbox'><label for='data-2e004a54-ef94-451b-9938-4fe426125ff0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d664077d-3e2f-4dc6-9e2b-90f431c0afbc' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d664077d-3e2f-4dc6-9e2b-90f431c0afbc' class='xr-section-summary' >Data variables: <span>(9)</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>g</span></div><div class='xr-var-dims'>(month, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-c248d6b1-07bf-40a4-ad38-db39d9621435' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c248d6b1-07bf-40a4-ad38-db39d9621435' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6daafb54-549d-45aa-b5de-5c1b0eb2f5bf' class='xr-var-data-in' type='checkbox'><label for='data-6daafb54-549d-45aa-b5de-5c1b0eb2f5bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 475.93 MiB </td>\n",
       "                        <td> 475.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"386\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 28.02293761910704,0.0 28.02293761910704,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"14.011469\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"48.022938\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,48.022938,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"98\" y1=\"60\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"98\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 118.67342854737377,20.673428547373774 118.67342854737377,80.84009521404043 98.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"218\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"218\" y1=\"0\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 218.0,0.0 238.67342854737376,20.673428547373774 118.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"80\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"238\" y1=\"20\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"118.67342854737377,20.673428547373774 238.67342854737376,20.673428547373774 238.67342854737376,80.84009521404043 118.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"178.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"258.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.673429,50.756762)\">361</text>\n",
       "  <text x=\"98.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,98.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pmsl</span></div><div class='xr-var-dims'>(month, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-d36b9e5d-239f-49df-a756-ed0665bb6e8a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d36b9e5d-239f-49df-a756-ed0665bb6e8a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d46b77-7e62-4284-955a-fdaee69a2a2b' class='xr-var-data-in' type='checkbox'><label for='data-64d46b77-7e62-4284-955a-fdaee69a2a2b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 11.90 MiB </td>\n",
       "                        <td> 11.90 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 361, 720) </td>\n",
       "                        <td> (12, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"196\" height=\"126\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 26.484080952415905,16.484080952415905 26.484080952415905,76.65074761908257 10.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 146.4840809524159,16.484080952415905 26.484080952415905,16.484080952415905\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"76\" x2=\"146\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"146\" y1=\"16\" x2=\"146\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"26.484080952415905,16.484080952415905 146.4840809524159,16.484080952415905 146.4840809524159,76.65074761908257 26.484080952415905,76.65074761908257\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"86.484081\" y=\"96.650748\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"166.484081\" y=\"46.567414\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,166.484081,46.567414)\">361</text>\n",
       "  <text x=\"8.242040\" y=\"88.408707\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.242040,88.408707)\">12</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>pwat</span></div><div class='xr-var-dims'>(month, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-9492dcf8-402e-4ccd-8297-96c019a6a84d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9492dcf8-402e-4ccd-8297-96c019a6a84d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57f16226-4d89-4d5b-82e8-2d2e19821e76' class='xr-var-data-in' type='checkbox'><label for='data-57f16226-4d89-4d5b-82e8-2d2e19821e76' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 11.90 MiB </td>\n",
       "                        <td> 11.90 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 361, 720) </td>\n",
       "                        <td> (12, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"196\" height=\"126\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 26.484080952415905,16.484080952415905 26.484080952415905,76.65074761908257 10.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 146.4840809524159,16.484080952415905 26.484080952415905,16.484080952415905\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"76\" x2=\"146\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"146\" y1=\"16\" x2=\"146\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"26.484080952415905,16.484080952415905 146.4840809524159,16.484080952415905 146.4840809524159,76.65074761908257 26.484080952415905,76.65074761908257\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"86.484081\" y=\"96.650748\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"166.484081\" y=\"46.567414\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,166.484081,46.567414)\">361</text>\n",
       "  <text x=\"8.242040\" y=\"88.408707\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.242040,88.408707)\">12</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>q</span></div><div class='xr-var-dims'>(month, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-8e6f1521-5da4-460c-9656-9564ffa54581' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8e6f1521-5da4-460c-9656-9564ffa54581' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da440bbf-9638-49d8-ba05-8c7bc5bbf987' class='xr-var-data-in' type='checkbox'><label for='data-da440bbf-9638-49d8-ba05-8c7bc5bbf987' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 475.93 MiB </td>\n",
       "                        <td> 475.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"386\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 28.02293761910704,0.0 28.02293761910704,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"14.011469\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"48.022938\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,48.022938,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"98\" y1=\"60\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"98\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 118.67342854737377,20.673428547373774 118.67342854737377,80.84009521404043 98.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"218\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"218\" y1=\"0\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 218.0,0.0 238.67342854737376,20.673428547373774 118.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"80\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"238\" y1=\"20\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"118.67342854737377,20.673428547373774 238.67342854737376,20.673428547373774 238.67342854737376,80.84009521404043 118.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"178.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"258.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.673429,50.756762)\">361</text>\n",
       "  <text x=\"98.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,98.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>t</span></div><div class='xr-var-dims'>(month, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-c816f42d-39bd-4948-967b-29343e31cf1f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c816f42d-39bd-4948-967b-29343e31cf1f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5ddab41a-aeb6-44fe-b8e3-a77026bfc155' class='xr-var-data-in' type='checkbox'><label for='data-5ddab41a-aeb6-44fe-b8e3-a77026bfc155' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 475.93 MiB </td>\n",
       "                        <td> 475.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"386\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 28.02293761910704,0.0 28.02293761910704,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"14.011469\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"48.022938\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,48.022938,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"98\" y1=\"60\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"98\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 118.67342854737377,20.673428547373774 118.67342854737377,80.84009521404043 98.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"218\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"218\" y1=\"0\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 218.0,0.0 238.67342854737376,20.673428547373774 118.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"80\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"238\" y1=\"20\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"118.67342854737377,20.673428547373774 238.67342854737376,20.673428547373774 238.67342854737376,80.84009521404043 118.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"178.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"258.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.673429,50.756762)\">361</text>\n",
       "  <text x=\"98.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,98.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>tsfc</span></div><div class='xr-var-dims'>(month, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-d0a7ca54-4ba4-4d46-9ad8-46911439e2d0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d0a7ca54-4ba4-4d46-9ad8-46911439e2d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d9013c1-029b-4e82-82b1-581fe7a3cbe4' class='xr-var-data-in' type='checkbox'><label for='data-4d9013c1-029b-4e82-82b1-581fe7a3cbe4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 11.90 MiB </td>\n",
       "                        <td> 11.90 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 361, 720) </td>\n",
       "                        <td> (12, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"196\" height=\"126\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"60\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 26.484080952415905,16.484080952415905 26.484080952415905,76.65074761908257 10.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"26\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 146.4840809524159,16.484080952415905 26.484080952415905,16.484080952415905\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"146\" y2=\"16\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"26\" y1=\"76\" x2=\"146\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"26\" y1=\"16\" x2=\"26\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"146\" y1=\"16\" x2=\"146\" y2=\"76\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"26.484080952415905,16.484080952415905 146.4840809524159,16.484080952415905 146.4840809524159,76.65074761908257 26.484080952415905,76.65074761908257\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"86.484081\" y=\"96.650748\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"166.484081\" y=\"46.567414\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,166.484081,46.567414)\">361</text>\n",
       "  <text x=\"8.242040\" y=\"88.408707\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,8.242040,88.408707)\">12</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(month, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-930cf6a4-202b-495c-81a7-35d2e4dd127d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-930cf6a4-202b-495c-81a7-35d2e4dd127d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c066f92d-57eb-4343-8345-8b251cec4282' class='xr-var-data-in' type='checkbox'><label for='data-c066f92d-57eb-4343-8345-8b251cec4282' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 475.93 MiB </td>\n",
       "                        <td> 475.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"386\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 28.02293761910704,0.0 28.02293761910704,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"14.011469\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"48.022938\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,48.022938,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"98\" y1=\"60\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"98\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 118.67342854737377,20.673428547373774 118.67342854737377,80.84009521404043 98.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"218\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"218\" y1=\"0\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 218.0,0.0 238.67342854737376,20.673428547373774 118.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"80\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"238\" y1=\"20\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"118.67342854737377,20.673428547373774 238.67342854737376,20.673428547373774 238.67342854737376,80.84009521404043 118.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"178.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"258.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.673429,50.756762)\">361</text>\n",
       "  <text x=\"98.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,98.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(month, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-80bab421-e25c-47d7-8375-50eab0230610' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-80bab421-e25c-47d7-8375-50eab0230610' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c33f4a2c-c13a-40ac-a2ca-d69cd0e79372' class='xr-var-data-in' type='checkbox'><label for='data-c33f4a2c-c13a-40ac-a2ca-d69cd0e79372' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 475.93 MiB </td>\n",
       "                        <td> 475.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"386\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 28.02293761910704,0.0 28.02293761910704,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"14.011469\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"48.022938\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,48.022938,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"98\" y1=\"60\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"98\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 118.67342854737377,20.673428547373774 118.67342854737377,80.84009521404043 98.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"218\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"218\" y1=\"0\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 218.0,0.0 238.67342854737376,20.673428547373774 118.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"80\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"238\" y1=\"20\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"118.67342854737377,20.673428547373774 238.67342854737376,20.673428547373774 238.67342854737376,80.84009521404043 118.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"178.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"258.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.673429,50.756762)\">361</text>\n",
       "  <text x=\"98.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,98.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>w</span></div><div class='xr-var-dims'>(month, lev, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(12, 40, 361, 720), meta=np.ndarray&gt;</div><input id='attrs-eca718d9-be95-4226-be5e-d6d85087e585' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eca718d9-be95-4226-be5e-d6d85087e585' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5c708a25-a1ab-4f2a-a9c3-895c16a52a3c' class='xr-var-data-in' type='checkbox'><label for='data-5c708a25-a1ab-4f2a-a9c3-895c16a52a3c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <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> 475.93 MiB </td>\n",
       "                        <td> 475.93 MiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                        <td> (12, 40, 361, 720) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 2 Graph Layers </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",
       "        <svg width=\"386\" height=\"130\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"28\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"25\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"28\" y1=\"0\" x2=\"28\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 28.02293761910704,0.0 28.02293761910704,25.412616514582485 0.0,25.412616514582485\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"14.011469\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >12</text>\n",
       "  <text x=\"48.022938\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,48.022938,12.706308)\">1</text>\n",
       "\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"98\" y1=\"60\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"98\" y2=\"60\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 118.67342854737377,20.673428547373774 118.67342854737377,80.84009521404043 98.0,60.16666666666666\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"218\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"98\" y1=\"0\" x2=\"118\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"218\" y1=\"0\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"98.0,0.0 218.0,0.0 238.67342854737376,20.673428547373774 118.67342854737377,20.673428547373774\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"238\" y2=\"20\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"118\" y1=\"80\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"118\" y1=\"20\" x2=\"118\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"238\" y1=\"20\" x2=\"238\" y2=\"80\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"118.67342854737377,20.673428547373774 238.67342854737376,20.673428547373774 238.67342854737376,80.84009521404043 118.67342854737377,80.84009521404043\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"178.673429\" y=\"100.840095\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >720</text>\n",
       "  <text x=\"258.673429\" y=\"50.756762\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,258.673429,50.756762)\">361</text>\n",
       "  <text x=\"98.336714\" y=\"90.503381\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,98.336714,90.503381)\">40</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-18db67e4-ffdf-4218-9998-1a50f5d5d954' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-18db67e4-ffdf-4218-9998-1a50f5d5d954' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 361, lon: 720, lev: 40, month: 12)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lon      (lon) float32 -180.0 -179.5 -179.0 -178.5 ... 178.5 179.0 179.5\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * month    (month) int64 1 2 3 4 5 6 7 8 9 10 11 12\n",
       "Data variables:\n",
       "    g        (month, lev, lat, lon) float32 dask.array<chunksize=(12, 40, 361, 720), meta=np.ndarray>\n",
       "    pmsl     (month, lat, lon) float32 dask.array<chunksize=(12, 361, 720), meta=np.ndarray>\n",
       "    pwat     (month, lat, lon) float32 dask.array<chunksize=(12, 361, 720), meta=np.ndarray>\n",
       "    q        (month, lev, lat, lon) float32 dask.array<chunksize=(12, 40, 361, 720), meta=np.ndarray>\n",
       "    t        (month, lev, lat, lon) float32 dask.array<chunksize=(12, 40, 361, 720), meta=np.ndarray>\n",
       "    tsfc     (month, lat, lon) float32 dask.array<chunksize=(12, 361, 720), meta=np.ndarray>\n",
       "    u        (month, lev, lat, lon) float32 dask.array<chunksize=(12, 40, 361, 720), meta=np.ndarray>\n",
       "    v        (month, lev, lat, lon) float32 dask.array<chunksize=(12, 40, 361, 720), meta=np.ndarray>\n",
       "    w        (month, lev, lat, lon) float32 dask.array<chunksize=(12, 40, 361, 720), meta=np.ndarray>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cfsr_mon = xr.open_mfdataset(path + '*' + '.mon_clim.0p5.nc')\n",
    "cfsr_mon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sea level pressure\n",
    "\n",
    "For many fields, we will make three individual plots:\n",
    "\n",
    "- annual mean\n",
    "- DJF\n",
    "- JJA\n",
    "\n",
    "Here's an example for the sea level pressure. I'm choosing a particular map projection here. There are lots of other choices, see [the Cartopy documentation](https://scitools.org.uk/cartopy/docs/v0.15/crs/projections.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'JJA')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "lon = cfsr_seas.lon\n",
    "lat = cfsr_seas.lat\n",
    "\n",
    "levels = np.arange(982., 1040., 4.)\n",
    "\n",
    "fig, axes = plt.subplots(3, figsize=(10,15), subplot_kw={'projection': ccrs.Robinson()})\n",
    "\n",
    "for ax in axes:\n",
    "    ax.coastlines()\n",
    "    \n",
    "ax = axes[0]\n",
    "CS = ax.contour(lon, lat, cfsr_seas.pmsl.mean(dim='season') / 100., levels=levels, linewidths=0.8, \n",
    "               transform=ccrs.PlateCarree())\n",
    "ax.clabel(CS, CS.levels, inline=True, fontsize=8)\n",
    "ax.set_title('Annual mean')\n",
    "\n",
    "ax = axes[1]\n",
    "CS = ax.contour(lon, lat, cfsr_seas.pmsl.sel(season='DJF') / 100., levels=levels, linewidths=0.8, \n",
    "               transform=ccrs.PlateCarree())\n",
    "ax.clabel(CS, CS.levels, inline=True, fontsize=8)\n",
    "ax.set_title('DJF')\n",
    "\n",
    "ax = axes[2]\n",
    "CS = ax.contour(lon,lat, cfsr_seas.pmsl.sel(season='JJA') / 100., levels=levels, linewidths=0.8, \n",
    "               transform=ccrs.PlateCarree())\n",
    "ax.clabel(CS, CS.levels, inline=True, fontsize=8)\n",
    "ax.set_title('JJA')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List of figures\n",
    "\n",
    "The following figures appear in the slide deck we saw in class, [which you can find at this link](https://www.atmos.albany.edu/facstaff/tang/classes/atm622/Lecture2.pdf) (courtesy of [Professor Brian Tang](https://www.atmos.albany.edu/facstaff/tang/index.html), University at Albany).\n",
    "\n",
    "Our objective here is to build recipes to make all (or at least most of) these figures from the CFSR climatology.\n",
    "\n",
    "1. SLP *this one is already done*\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 1000 hPa streamlines \n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 1000 hPa zonal wind\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 1000 hPa meridional wind\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 1000 hPa temperature\n",
    "    - annual mean\n",
    "1. 1000 hPa zonal temperature anomaly\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 200 hPa streamlines\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 200 hPa zonal wind\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 200 hPa meridional wind\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 500 hPa vertical velocity (omega)\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 500 hPa relative humidity\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. 850 hPa moist static energy\n",
    "    - annual mean\n",
    "1. 850 hPa moist static energy zonal anomaly\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. Surface enthalpy flux\n",
    "    - annual mean\n",
    "    - DJF\n",
    "    - JJA\n",
    "1. Schematic: Lagrangian vs Eulerian overturning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Mass overturning circulation\n",
    "\n",
    "### Basic ideas and theory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An element of northward mass flux (in units of kg s${^-1}$) across latitude line $\\phi$ is\n",
    "\n",
    "$$ d\\psi = a \\cos\\phi d\\lambda ~ v ~ \\frac{dp}{g} $$\n",
    "\n",
    "So the total northward mass flux across $\\phi$ above pressure level $p$ is given by\n",
    "\n",
    "\\begin{align*} \n",
    "\\psi(p) &= \\int_0^{2\\pi} \\int_0^p a \\cos\\phi d\\lambda ~ v ~ \\frac{dp}{g} \\\\\n",
    "&= 2\\pi a \\frac{\\cos\\phi}{g} \\int_0^p [v] dp \n",
    "\\end{align*}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The zonally- and time-averaged mass conservation in pressure coordinates is\n",
    "\n",
    "$$ \\frac{1}{a \\cos\\phi} \\frac{\\partial}{\\partial \\phi} \\left( [\\overline{v}] \\cos\\phi \\right) + \\frac{\\partial [\\overline{\\omega}]}{\\partial p} = 0 $$\n",
    "\n",
    "In other words, the vector with components $[\\overline{v}], [\\overline{\\omega}]$ is non-divergent. So we can represent it with a scalar streamfunction $\\psi$, the **mass transport streamfunction**:\n",
    "\n",
    "\\begin{align*}\n",
    "2\\pi a \\cos\\phi [\\overline{v}] &= \\frac{\\partial \\psi}{\\partial p} \\\\\n",
    "2\\pi a^2 \\cos\\phi \\left( [\\overline{\\omega}]\\right) = -\\frac{\\partial \\psi}{\\partial \\phi}\n",
    "\\end{align*}\n",
    "\n",
    "consistent with the definition of $\\psi$ above!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It it thus possible to compute and plot the mass streamfunction from just the zonal wind data, using\n",
    "\n",
    "$$ \\psi = \\frac{2\\pi a \\cos\\phi}{g} \\int_0^p [\\overline{v}] dp $$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Contours of $\\psi$ can then be interpreted as streamlines for the **mean meridional circulation**, that is, the zonal- and time-averaged overturning of mass in the latitude-pressure plane."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Computing the overturning streamfunction from meridonal velocities\n",
    "\n",
    "We'll start by taking averages of the $v$ data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;v&#x27; (season: 4, lev: 40, lat: 361)&gt;\n",
       "dask.array&lt;mean_agg-aggregate, shape=(4, 40, 361), dtype=float32, chunksize=(4, 40, 361), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * season   (season) object &#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</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'>'v'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>lev</span>: 40</li><li><span class='xr-has-index'>lat</span>: 361</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-b22a6dcd-dba4-4e56-a4f1-d07f6f85f057' class='xr-array-in' type='checkbox' checked><label for='section-b22a6dcd-dba4-4e56-a4f1-d07f6f85f057' 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=(4, 40, 361), 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> 225.62 kiB </td>\n",
       "                        <td> 225.62 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (4, 40, 361) </td>\n",
       "                        <td> (4, 40, 361) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 4 Graph Layers </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",
       "        <svg width=\"195\" height=\"104\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"39\" x2=\"25\" y2=\"54\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"39\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"54\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 25.241476922371035,15.241476922371037 25.241476922371035,54.39883071108765 10.0,39.15735378871661\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"130\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"25\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"130\" y1=\"0\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 130.0,0.0 145.24147692237105,15.241476922371037 25.241476922371035,15.241476922371037\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"145\" y2=\"15\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"25\" y1=\"54\" x2=\"145\" y2=\"54\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"25\" y1=\"15\" x2=\"25\" y2=\"54\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"145\" y1=\"15\" x2=\"145\" y2=\"54\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"25.241476922371035,15.241476922371037 145.24147692237102,15.241476922371037 145.24147692237102,54.39883071108765 25.241476922371035,54.39883071108765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"85.241477\" y=\"74.398831\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >361</text>\n",
       "  <text x=\"165.241477\" y=\"34.820154\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,165.241477,34.820154)\">40</text>\n",
       "  <text x=\"7.620738\" y=\"66.778092\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,7.620738,66.778092)\">4</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-06a9a4aa-14e4-4b01-a792-2487c911bcf0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-06a9a4aa-14e4-4b01-a792-2487c911bcf0' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-f7d7fd4c-f3e9-4409-bcf2-c03676aa9466' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f7d7fd4c-f3e9-4409-bcf2-c03676aa9466' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee3d52f1-8281-43e3-9621-b6791a73bc8f' class='xr-var-data-in' type='checkbox'><label for='data-ee3d52f1-8281-43e3-9621-b6791a73bc8f' 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([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-2e-06 2e-06 10.0 ... 975.0 1e+03</div><input id='attrs-d3421de7-e7dd-4226-b171-211c60dbaafe' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d3421de7-e7dd-4226-b171-211c60dbaafe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9fd2507-a604-4b3b-827e-3eedd29dd93b' class='xr-var-data-in' type='checkbox'><label for='data-c9fd2507-a604-4b3b-827e-3eedd29dd93b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2.00e-06,  2.00e-06,  1.00e+01,  2.00e+01,  3.00e+01,  5.00e+01,\n",
       "        7.00e+01,  1.00e+02,  1.25e+02,  1.50e+02,  1.75e+02,  2.00e+02,\n",
       "        2.25e+02,  2.50e+02,  2.70e+02,  2.80e+02,  2.90e+02,  3.00e+02,\n",
       "        3.10e+02,  3.20e+02,  3.30e+02,  3.50e+02,  4.00e+02,  4.50e+02,\n",
       "        5.00e+02,  5.50e+02,  6.00e+02,  6.50e+02,  7.00e+02,  7.50e+02,\n",
       "        7.75e+02,  8.00e+02,  8.25e+02,  8.50e+02,  8.75e+02,  9.00e+02,\n",
       "        9.25e+02,  9.50e+02,  9.75e+02,  1.00e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-396b6b29-681f-4baf-b727-403fbd537087' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-396b6b29-681f-4baf-b727-403fbd537087' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69e16b42-c92f-4665-ac1e-2b202b1b4047' class='xr-var-data-in' type='checkbox'><label for='data-69e16b42-c92f-4665-ac1e-2b202b1b4047' 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([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-79afeb5d-1ba9-4f9f-8ae9-246991f58818' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-79afeb5d-1ba9-4f9f-8ae9-246991f58818' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'v' (season: 4, lev: 40, lat: 361)>\n",
       "dask.array<mean_agg-aggregate, shape=(4, 40, 361), dtype=float32, chunksize=(4, 40, 361), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * season   (season) object 'DJF' 'JJA' 'MAM' 'SON'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vbracket = cfsr_seas.v.mean(dim='lon')\n",
    "vbracket"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It turns out that the top-most pressure level is missing in the data, e.g.:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan, nan,\n",
       "       nan, nan, nan, nan, nan, nan, nan, nan, nan, nan], dtype=float32)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vbracket.isel(lev=0).sel(season='DJF').values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can't integrate over nans so we'll replace those with zeros instead -- which will make no contribution to the integral."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "vbracket_zeros = vbracket.fillna(0.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's compute the integral!  \n",
    "\n",
    "*(I'm calling out to an external package to get values of the constants $a$ (Earth radius) and $g$ (acceleration due to gravity))*"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(--jp-content-font-color0, rgba(0, 0, 0, 1));\n",
       "  --xr-font-color2: var(--jp-content-font-color2, rgba(0, 0, 0, 0.54));\n",
       "  --xr-font-color3: var(--jp-content-font-color3, rgba(0, 0, 0, 0.38));\n",
       "  --xr-border-color: var(--jp-border-color2, #e0e0e0);\n",
       "  --xr-disabled-color: var(--jp-layout-color3, #bdbdbd);\n",
       "  --xr-background-color: var(--jp-layout-color0, white);\n",
       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
       "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (lat: 361, season: 4, lev: 40)&gt;\n",
       "dask.array&lt;mul, shape=(361, 4, 40), dtype=float32, chunksize=(361, 4, 39), chunktype=numpy.ndarray&gt;\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * season   (season) object &#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</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'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 361</li><li><span class='xr-has-index'>season</span>: 4</li><li><span class='xr-has-index'>lev</span>: 40</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-237dcb2a-d357-4f95-a08c-0876bc6dfe19' class='xr-array-in' type='checkbox' checked><label for='section-237dcb2a-d357-4f95-a08c-0876bc6dfe19' 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=(361, 4, 1), 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> 225.62 kiB </td>\n",
       "                        <td> 219.98 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (361, 4, 40) </td>\n",
       "                        <td> (361, 4, 39) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Count </th>\n",
       "                        <td> 22 Graph Layers </td>\n",
       "                        <td> 2 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=\"169\" height=\"146\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"25\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"10\" y2=\"25\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 80.58823529411765,70.58823529411765 80.58823529411765,96.49874606214841 10.0,25.91051076803076\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"49\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"119\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"80\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"10\" y1=\"0\" x2=\"81\" y2=\"70\" />\n",
       "  <line x1=\"49\" y1=\"0\" x2=\"119\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"10.0,0.0 49.15735378871661,0.0 119.74558908283427,70.58823529411765 80.58823529411765,70.58823529411765\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"119\" y2=\"70\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"80\" y1=\"96\" x2=\"119\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"80\" y1=\"70\" x2=\"80\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"81\" y1=\"70\" x2=\"81\" y2=\"96\" />\n",
       "  <line x1=\"119\" y1=\"70\" x2=\"119\" y2=\"96\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"80.58823529411765,70.58823529411765 119.74558908283427,70.58823529411765 119.74558908283427,96.49874606214841 80.58823529411765,96.49874606214841\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"100.166912\" y=\"116.498746\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >40</text>\n",
       "  <text x=\"139.745589\" y=\"83.543491\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,139.745589,83.543491)\">4</text>\n",
       "  <text x=\"35.294118\" y=\"81.204628\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(45,35.294118,81.204628)\">361</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></div></li><li class='xr-section-item'><input id='section-644d0dac-a022-477e-a239-4389d69dac25' class='xr-section-summary-in' type='checkbox'  checked><label for='section-644d0dac-a022-477e-a239-4389d69dac25' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-90.0 -89.5 -89.0 ... 89.5 90.0</div><input id='attrs-248e0213-0441-4b59-9052-2a8e563f1109' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-248e0213-0441-4b59-9052-2a8e563f1109' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28facd87-d8b7-4e5a-a77f-9f7d0d73c3ff' class='xr-var-data-in' type='checkbox'><label for='data-28facd87-d8b7-4e5a-a77f-9f7d0d73c3ff' 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([-90. , -89.5, -89. , ...,  89. ,  89.5,  90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lev</span></div><div class='xr-var-dims'>(lev)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>-2e-06 2e-06 10.0 ... 975.0 1e+03</div><input id='attrs-38253aa2-d16e-4994-a77f-4712a854b8ee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38253aa2-d16e-4994-a77f-4712a854b8ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3abb1408-cb07-4122-8cbd-ebfce7508e9f' class='xr-var-data-in' type='checkbox'><label for='data-3abb1408-cb07-4122-8cbd-ebfce7508e9f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([-2.00e-06,  2.00e-06,  1.00e+01,  2.00e+01,  3.00e+01,  5.00e+01,\n",
       "        7.00e+01,  1.00e+02,  1.25e+02,  1.50e+02,  1.75e+02,  2.00e+02,\n",
       "        2.25e+02,  2.50e+02,  2.70e+02,  2.80e+02,  2.90e+02,  3.00e+02,\n",
       "        3.10e+02,  3.20e+02,  3.30e+02,  3.50e+02,  4.00e+02,  4.50e+02,\n",
       "        5.00e+02,  5.50e+02,  6.00e+02,  6.50e+02,  7.00e+02,  7.50e+02,\n",
       "        7.75e+02,  8.00e+02,  8.25e+02,  8.50e+02,  8.75e+02,  9.00e+02,\n",
       "        9.25e+02,  9.50e+02,  9.75e+02,  1.00e+03], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>season</span></div><div class='xr-var-dims'>(season)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;DJF&#x27; &#x27;JJA&#x27; &#x27;MAM&#x27; &#x27;SON&#x27;</div><input id='attrs-29012fcf-ea22-42ed-999a-4d70d2fe8727' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-29012fcf-ea22-42ed-999a-4d70d2fe8727' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97e0afdb-aa16-4f4c-9d73-94775886a410' class='xr-var-data-in' type='checkbox'><label for='data-97e0afdb-aa16-4f4c-9d73-94775886a410' 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([&#x27;DJF&#x27;, &#x27;JJA&#x27;, &#x27;MAM&#x27;, &#x27;SON&#x27;], dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6651db81-9259-4b94-b936-fd19d09041c9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6651db81-9259-4b94-b936-fd19d09041c9' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (lat: 361, season: 4, lev: 40)>\n",
       "dask.array<mul, shape=(361, 4, 40), dtype=float32, chunksize=(361, 4, 39), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 -90.0 -89.5 -89.0 -88.5 -88.0 ... 88.5 89.0 89.5 90.0\n",
       "  * lev      (lev) float32 -2e-06 2e-06 10.0 20.0 ... 925.0 950.0 975.0 1e+03\n",
       "  * season   (season) object 'DJF' 'JJA' 'MAM' 'SON'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coslat = np.cos(np.deg2rad(cfsr_seas.lat))\n",
    "from climlab.utils.constants import a, g\n",
    "\n",
    "# Use units of 10^9 kg/s\n",
    "psi = 2*np.pi*a*coslat/g * vbracket_zeros.cumulative_integrate(coord='lev') / 1E9 * 100\n",
    "# Need to multiply by 100 because the 'lev' coordinate is in units of hPa, not Pa\n",
    "psi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we've got the streamfunction defined for four seasons. Time to make plots!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting the mass overturning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'JJA mass streamfunction (10$^9$ kg s$^{-1}$)')"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 800x1000 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "psi_levels = np.arange(-230, 240, 10.)\n",
    "\n",
    "fig, axes = plt.subplots(3, figsize=(8,10))\n",
    "\n",
    "CS = psi.mean(dim='season').plot.contour(ax=axes[0],\n",
    "                                         x='lat', \n",
    "                                         yincrease=False,\n",
    "                                         levels=psi_levels,\n",
    "                                        )\n",
    "axes[0].clabel(CS, CS.levels, inline=True, fontsize=8)\n",
    "axes[0].set_title('Annual mean mass streamfunction (10$^9$ kg s$^{-1}$)')\n",
    "\n",
    "CS = psi.sel(season='DJF').plot.contour(ax=axes[1],\n",
    "                                         x='lat', \n",
    "                                         yincrease=False,\n",
    "                                         levels=psi_levels,\n",
    "                                        )\n",
    "axes[1].clabel(CS, CS.levels, inline=True, fontsize=8)\n",
    "axes[1].set_title('DJF mass streamfunction (10$^9$ kg s$^{-1}$)')\n",
    "\n",
    "CS = psi.sel(season='JJA').plot.contour(ax=axes[2],\n",
    "                                         x='lat', \n",
    "                                         yincrease=False,\n",
    "                                         levels=psi_levels,\n",
    "                                        )\n",
    "axes[2].clabel(CS, CS.levels, inline=True, fontsize=8)\n",
    "axes[2].set_title('JJA mass streamfunction (10$^9$ kg s$^{-1}$)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 August 2022 Environment",
   "language": "python",
   "name": "aug22"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.5"
  },
  "widgets": {
   "application/vnd.jupyter.widget-state+json": {
    "state": {},
    "version_major": 2,
    "version_minor": 0
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}