co_evolution_savenc.ipynb

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    "## This script will calulate the time lag of wave precipitation and save co-evolution nc files\n",
    "\n",
    " Author:    Fouzia Fahrin (ffahrin@iastate.edu)"
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     "text": [
      "ERROR 1: PROJ: proj_create_from_database: Open of /opt/miniconda3/envs/prod/share/proj failed\n"
     ]
    }
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   "source": [
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "from netCDF4 import Dataset\n",
    "import pandas as pd\n",
    "import netCDF4\n",
    "\n",
    "from cartopy import config\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "from cartopy.util import add_cyclic_point\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from matplotlib.ticker import (MultipleLocator, FormatStrFormatter,\n",
    "                               AutoMinorLocator)\n",
    "import h5py\n",
    "from datetime import datetime\n",
    "import scipy.stats"
   ]
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   "source": [
    "#change wave name and hemisphere\n",
    "\n",
    "wave = \"IG0\"\n",
    "base = \"NH\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "0c316b8a-e6f4-4b94-ac61-26a4eb60a5ae",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:           (time: 7792, lat: 71, lon: 360)\n",
       "Coordinates:\n",
       "  * time              (time) datetime64[ns] 2000-06-01 2000-06-02 ... 2021-09-30\n",
       "  * lat               (lat) float64 -35.0 -34.0 -33.0 -32.0 ... 33.0 34.0 35.0\n",
       "  * lon               (lon) float64 0.0 1.0 2.0 3.0 ... 356.0 357.0 358.0 359.0\n",
       "Data variables:\n",
       "    precipitationCal  (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:  Mon Nov 13 03:26:57 PM CST 2023\n",
       "    years:          2000-2021\n",
       "    symmetry:       none\n",
       "    wave_type:      IG0 wave\n",
       "    title:          IMERG_20000601-20210930_anom_final filtered anomalies</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-f906e2e0-933d-4cfe-85d8-ae91f6219935' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f906e2e0-933d-4cfe-85d8-ae91f6219935' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 7792</li><li><span class='xr-has-index'>lat</span>: 71</li><li><span class='xr-has-index'>lon</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-44693b8c-9be4-49e6-9806-5630fdbec1fa' class='xr-section-summary-in' type='checkbox'  checked><label for='section-44693b8c-9be4-49e6-9806-5630fdbec1fa' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2000-06-01 ... 2021-09-30</div><input id='attrs-4f949df9-9fe2-4d49-b764-509b4f8badb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f949df9-9fe2-4d49-b764-509b4f8badb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-605465b4-ea7f-4f05-ad49-0db264d34777' class='xr-var-data-in' type='checkbox'><label for='data-605465b4-ea7f-4f05-ad49-0db264d34777' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2000-06-01T00:00:00.000000000&#x27;, &#x27;2000-06-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-06-03T00:00:00.000000000&#x27;, ..., &#x27;2021-09-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-09-29T00:00:00.000000000&#x27;, &#x27;2021-09-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>-35.0 -34.0 -33.0 ... 34.0 35.0</div><input id='attrs-d5cf8217-0817-438c-aff0-b1270d08a5a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5cf8217-0817-438c-aff0-b1270d08a5a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d4217d7-b641-4d5a-9605-e84accf00d7d' class='xr-var-data-in' type='checkbox'><label for='data-9d4217d7-b641-4d5a-9605-e84accf00d7d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([-35., -34., -33., -32., -31., -30., -29., -28., -27., -26., -25., -24.,\n",
       "       -23., -22., -21., -20., -19., -18., -17., -16., -15., -14., -13., -12.,\n",
       "       -11., -10.,  -9.,  -8.,  -7.,  -6.,  -5.,  -4.,  -3.,  -2.,  -1.,   0.,\n",
       "         1.,   2.,   3.,   4.,   5.,   6.,   7.,   8.,   9.,  10.,  11.,  12.,\n",
       "        13.,  14.,  15.,  16.,  17.,  18.,  19.,  20.,  21.,  22.,  23.,  24.,\n",
       "        25.,  26.,  27.,  28.,  29.,  30.,  31.,  32.,  33.,  34.,  35.])</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'>float64</div><div class='xr-var-preview xr-preview'>0.0 1.0 2.0 ... 357.0 358.0 359.0</div><input id='attrs-02cd174e-e1f9-4431-9e8d-106d8236caf9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-02cd174e-e1f9-4431-9e8d-106d8236caf9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4777186-dd14-4f13-b4df-bf7d3b65fada' class='xr-var-data-in' type='checkbox'><label for='data-a4777186-dd14-4f13-b4df-bf7d3b65fada' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0.,   1.,   2., ..., 357., 358., 359.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a26d277a-d08e-407d-8721-7d1b9c39924f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a26d277a-d08e-407d-8721-7d1b9c39924f' class='xr-section-summary' >Data variables: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>precipitationCal</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3266d943-3ccb-495f-a0bb-f2d832a2b6ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3266d943-3ccb-495f-a0bb-f2d832a2b6ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2d36ace5-9763-4a2f-ad86-47758d89c597' class='xr-var-data-in' type='checkbox'><label for='data-2d36ace5-9763-4a2f-ad86-47758d89c597' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>waveName :</span></dt><dd>IG0</dd><dt><span>depth :</span></dt><dd>[ 8 90]</dd><dt><span>period :</span></dt><dd>[0.5 5.3]</dd><dt><span>wavenumber :</span></dt><dd>[ 0 14]</dd><dt><span>lat :</span></dt><dd>35.0</dd><dt><span>long_name :</span></dt><dd>Daily accumulated precipitation (combined microwave-IR) estimate</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>title :</span></dt><dd>GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree (GPM_3IMERGDF)</dd><dt><span>history_L34RS :</span></dt><dd>Created by L34RS v1.4.3 @ NASA GES DISC on January 17 2023 20:05:40. Spatial: -180.0 180.0 -50.0 50.0. Regrid: remapbil cfsr1.0. Variables: precipitationCal</dd><dt><span>missing_values :</span></dt><dd>Missing values linearly interpolated one dimension at a time</dd></dl></div><div class='xr-var-data'><pre>[199163520 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ba30318-535a-44c1-ba56-8b6019e5d71d' class='xr-section-summary-in' type='checkbox'  ><label for='section-4ba30318-535a-44c1-ba56-8b6019e5d71d' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-00117935-9844-4483-82b5-eb12a666acf7' class='xr-index-data-in' type='checkbox'/><label for='index-00117935-9844-4483-82b5-eb12a666acf7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2000-06-01&#x27;, &#x27;2000-06-02&#x27;, &#x27;2000-06-03&#x27;, &#x27;2000-06-04&#x27;,\n",
       "               &#x27;2000-06-05&#x27;, &#x27;2000-06-06&#x27;, &#x27;2000-06-07&#x27;, &#x27;2000-06-08&#x27;,\n",
       "               &#x27;2000-06-09&#x27;, &#x27;2000-06-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-09-21&#x27;, &#x27;2021-09-22&#x27;, &#x27;2021-09-23&#x27;, &#x27;2021-09-24&#x27;,\n",
       "               &#x27;2021-09-25&#x27;, &#x27;2021-09-26&#x27;, &#x27;2021-09-27&#x27;, &#x27;2021-09-28&#x27;,\n",
       "               &#x27;2021-09-29&#x27;, &#x27;2021-09-30&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=7792, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4f555479-82c0-4f76-a995-54d10397176f' class='xr-index-data-in' type='checkbox'/><label for='index-4f555479-82c0-4f76-a995-54d10397176f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([-35.0, -34.0, -33.0, -32.0, -31.0, -30.0, -29.0, -28.0, -27.0,\n",
       "              -26.0, -25.0, -24.0, -23.0, -22.0, -21.0, -20.0, -19.0, -18.0,\n",
       "              -17.0, -16.0, -15.0, -14.0, -13.0, -12.0, -11.0, -10.0,  -9.0,\n",
       "               -8.0,  -7.0,  -6.0,  -5.0,  -4.0,  -3.0,  -2.0,  -1.0,   0.0,\n",
       "                1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,   9.0,\n",
       "               10.0,  11.0,  12.0,  13.0,  14.0,  15.0,  16.0,  17.0,  18.0,\n",
       "               19.0,  20.0,  21.0,  22.0,  23.0,  24.0,  25.0,  26.0,  27.0,\n",
       "               28.0,  29.0,  30.0,  31.0,  32.0,  33.0,  34.0,  35.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-5faa0a42-4467-493a-8c41-4c599c10c5b6' class='xr-index-data-in' type='checkbox'/><label for='index-5faa0a42-4467-493a-8c41-4c599c10c5b6' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([  0.0,   1.0,   2.0,   3.0,   4.0,   5.0,   6.0,   7.0,   8.0,\n",
       "                9.0,\n",
       "              ...\n",
       "              350.0, 351.0, 352.0, 353.0, 354.0, 355.0, 356.0, 357.0, 358.0,\n",
       "              359.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=360))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ce8af9d9-526e-4b0c-969f-2cd066008edd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ce8af9d9-526e-4b0c-969f-2cd066008edd' class='xr-section-summary' >Attributes: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>creation_date :</span></dt><dd>Mon Nov 13 03:26:57 PM CST 2023</dd><dt><span>years :</span></dt><dd>2000-2021</dd><dt><span>symmetry :</span></dt><dd>none</dd><dt><span>wave_type :</span></dt><dd>IG0 wave</dd><dt><span>title :</span></dt><dd>IMERG_20000601-20210930_anom_final filtered anomalies</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:           (time: 7792, lat: 71, lon: 360)\n",
       "Coordinates:\n",
       "  * time              (time) datetime64[ns] 2000-06-01 2000-06-02 ... 2021-09-30\n",
       "  * lat               (lat) float64 -35.0 -34.0 -33.0 -32.0 ... 33.0 34.0 35.0\n",
       "  * lon               (lon) float64 0.0 1.0 2.0 3.0 ... 356.0 357.0 358.0 359.0\n",
       "Data variables:\n",
       "    precipitationCal  (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    creation_date:  Mon Nov 13 03:26:57 PM CST 2023\n",
       "    years:          2000-2021\n",
       "    symmetry:       none\n",
       "    wave_type:      IG0 wave\n",
       "    title:          IMERG_20000601-20210930_anom_final filtered anomalies"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "figfolder = './'\n",
    "\n",
    "#load data \n",
    "\n",
    "dataset = 'IMERG'\n",
    "dri = '/lss/research/agon-lab/IMERG-daily/NASA_interpolated/equ_waves/'\n",
    "fn = '1deg_IMERG_2000-2021_'+wave+'.nc'\n",
    "data_kw = xr.open_dataset(dri+fn)\n",
    "data_kw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "51401508-2c2a-4dcc-bc39-bf4a4388b748",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#chosen base point NH latitude\n",
    "\n",
    "lats = 5. \n",
    "latn = 5. \n",
    "\n",
    "# Chosen base point longitude\n",
    "lonw = 255.\n",
    "lone = 255. \n",
    "\n",
    "#chosen base point NH latitude\n",
    "lat_SHs=-5\n",
    "lat_SHn=-5\n",
    "\n",
    "#chosen time\n",
    "\n",
    "mn0 = 2\n",
    "mnf = 4\n",
    "yr0 = 2001\n",
    "yrf = 2021\n",
    "time0 = str(yr0)+'-01-01T00:00:00.000000000'\n",
    "timef = str(yrf)+'-12-31T00:00:00.000000000'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "87330654-af57-495a-aaf6-369857b9ee35",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "time_all1 = data_kw['time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "299ce2d4-6356-40a6-a1f8-2823f9737007",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# set up conditional statements \n",
    "cond1_fma = (time_all1['time.month'] >= mn0) & (time_all1['time.month'] <= mnf) # season of interest\n",
    "cond2_fma = (time_all1['time.year'] <= yrf) & (time_all1['time.year'] >= yr0) # season of interest\n",
    "# now find only the times when MJO amplitude is in season of interest AND exceeds some threshold\n",
    "time_fma = time_all1.where((cond1_fma)& (cond2_fma), drop=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "9006d441-833a-4332-82b4-1222a931c42c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 Base Point\n"
     ]
    },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precipitationCal&#x27; (time: 1874)&gt;\n",
       "array([  5.595726,  -6.12682 ,   0.772658, ..., -11.598407,   5.888126,\n",
       "         0.382839], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2001-02-01 2001-02-02 ... 2021-04-30\n",
       "    lat      float64 5.0\n",
       "    lon      float64 255.0\n",
       "Attributes:\n",
       "    waveName:        IG0\n",
       "    depth:           [ 8 90]\n",
       "    period:          [0.5 5.3]\n",
       "    wavenumber:      [ 0 14]\n",
       "    lat:             35.0\n",
       "    long_name:       Daily accumulated precipitation (combined microwave-IR) ...\n",
       "    units:           mm\n",
       "    cell_methods:    time: mean\n",
       "    title:           GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 ...\n",
       "    history_L34RS:   Created by L34RS v1.4.3 @ NASA GES DISC on January 17 20...\n",
       "    missing_values:  Missing values linearly interpolated one dimension at a ...</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'>'precipitationCal'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1874</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e912ec97-3f03-436d-ade0-4b7de0088404' class='xr-array-in' type='checkbox' checked><label for='section-e912ec97-3f03-436d-ade0-4b7de0088404' 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>5.596 -6.127 0.7727 3.391 -1.434 ... 6.681 4.115 -11.6 5.888 0.3828</span></div><div class='xr-array-data'><pre>array([  5.595726,  -6.12682 ,   0.772658, ..., -11.598407,   5.888126,\n",
       "         0.382839], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c87956de-23c4-42b0-be1d-b912fc05a124' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c87956de-23c4-42b0-be1d-b912fc05a124' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-02-01 ... 2021-04-30</div><input id='attrs-5cb6c81f-f289-4293-8bc1-3156f6a5685b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5cb6c81f-f289-4293-8bc1-3156f6a5685b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94ab3229-e70c-4c35-8f9a-3bb0c6f8818d' class='xr-var-data-in' type='checkbox'><label for='data-94ab3229-e70c-4c35-8f9a-3bb0c6f8818d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-02-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-03T00:00:00.000000000&#x27;, ..., &#x27;2021-04-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-04-29T00:00:00.000000000&#x27;, &#x27;2021-04-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>5.0</div><input id='attrs-13248647-d842-4a8a-8cb4-117aecdbd764' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13248647-d842-4a8a-8cb4-117aecdbd764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-895b6c1f-9f26-451f-8b3e-ca856bcf09e4' class='xr-var-data-in' type='checkbox'><label for='data-895b6c1f-9f26-451f-8b3e-ca856bcf09e4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array(5.)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>255.0</div><input id='attrs-17587649-f1ff-4a19-a536-e6dc1f83a94d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-17587649-f1ff-4a19-a536-e6dc1f83a94d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcf2c4d8-f60a-4cab-b68d-4e49314c9cae' class='xr-var-data-in' type='checkbox'><label for='data-fcf2c4d8-f60a-4cab-b68d-4e49314c9cae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array(255.)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ae3b86e7-8ef3-4c2d-ba21-e626728ac24a' class='xr-section-summary-in' type='checkbox'  ><label for='section-ae3b86e7-8ef3-4c2d-ba21-e626728ac24a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ad87dbb3-5c82-40a5-ada6-08fbc5039cd8' class='xr-index-data-in' type='checkbox'/><label for='index-ad87dbb3-5c82-40a5-ada6-08fbc5039cd8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2001-02-01&#x27;, &#x27;2001-02-02&#x27;, &#x27;2001-02-03&#x27;, &#x27;2001-02-04&#x27;,\n",
       "               &#x27;2001-02-05&#x27;, &#x27;2001-02-06&#x27;, &#x27;2001-02-07&#x27;, &#x27;2001-02-08&#x27;,\n",
       "               &#x27;2001-02-09&#x27;, &#x27;2001-02-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-04-21&#x27;, &#x27;2021-04-22&#x27;, &#x27;2021-04-23&#x27;, &#x27;2021-04-24&#x27;,\n",
       "               &#x27;2021-04-25&#x27;, &#x27;2021-04-26&#x27;, &#x27;2021-04-27&#x27;, &#x27;2021-04-28&#x27;,\n",
       "               &#x27;2021-04-29&#x27;, &#x27;2021-04-30&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1874, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3daa501d-8e68-4e35-a985-7ee2918dd6c4' class='xr-section-summary-in' type='checkbox'  ><label for='section-3daa501d-8e68-4e35-a985-7ee2918dd6c4' class='xr-section-summary' >Attributes: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>waveName :</span></dt><dd>IG0</dd><dt><span>depth :</span></dt><dd>[ 8 90]</dd><dt><span>period :</span></dt><dd>[0.5 5.3]</dd><dt><span>wavenumber :</span></dt><dd>[ 0 14]</dd><dt><span>lat :</span></dt><dd>35.0</dd><dt><span>long_name :</span></dt><dd>Daily accumulated precipitation (combined microwave-IR) estimate</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>title :</span></dt><dd>GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 degree (GPM_3IMERGDF)</dd><dt><span>history_L34RS :</span></dt><dd>Created by L34RS v1.4.3 @ NASA GES DISC on January 17 2023 20:05:40. Spatial: -180.0 180.0 -50.0 50.0. Regrid: remapbil cfsr1.0. Variables: precipitationCal</dd><dt><span>missing_values :</span></dt><dd>Missing values linearly interpolated one dimension at a time</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'precipitationCal' (time: 1874)>\n",
       "array([  5.595726,  -6.12682 ,   0.772658, ..., -11.598407,   5.888126,\n",
       "         0.382839], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2001-02-01 2001-02-02 ... 2021-04-30\n",
       "    lat      float64 5.0\n",
       "    lon      float64 255.0\n",
       "Attributes:\n",
       "    waveName:        IG0\n",
       "    depth:           [ 8 90]\n",
       "    period:          [0.5 5.3]\n",
       "    wavenumber:      [ 0 14]\n",
       "    lat:             35.0\n",
       "    long_name:       Daily accumulated precipitation (combined microwave-IR) ...\n",
       "    units:           mm\n",
       "    cell_methods:    time: mean\n",
       "    title:           GPM IMERG Final Precipitation L3 1 day 0.1 degree x 0.1 ...\n",
       "    history_L34RS:   Created by L34RS v1.4.3 @ NASA GES DISC on January 17 20...\n",
       "    missing_values:  Missing values linearly interpolated one dimension at a ..."
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if (lats == latn) | (lonw == lone):\n",
    "    pr1 = data_kw['precipitationCal'].sel(lat=latn,lon=lonw, time = time_fma)\n",
    "    pr_FMA_std_lon = data_kw['precipitationCal'].sel(lat=latn,lon=slice(225,285),time = time_fma).mean('lon').std(dim='time')\n",
    "    print('1 Base Point')\n",
    "else:\n",
    "    pr1 = data_kw['precipitationCal'].sel(lat=slice(lats,latn),lon=slice(lonw,lone), time = time_fma).mean(dim=('lat','lon'))\n",
    "    pr_FMA_std_lon = data_kw['precipitationCal'].sel(lat=slice(lats,latn),lon=slice(225,285),time = time_fma).mean(dim=('lat','lon')).std(dim='time')\n",
    "    print('Base Region')\n",
    "\n",
    "std = pr1.std(dim=('time'))\n",
    "pr1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "ff54479a-6483-4dcd-9ea6-36a86fd365ac",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#set up condition to choose precip greater than 1 std\n",
    "\n",
    "pr = pr1\n",
    "cond = (pr >= std)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "01bf29b8-33d2-42ab-90f2-5a9312949508",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Subset of precip data when precip is greater than 1 std\n",
    "\n",
    "time_strong = pr.where(cond, drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "cef56599-705d-4b5d-b604-e026b523d1ef",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "time_NH = time_strong['time']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "164090f5-a582-449e-a4f6-2d00e8c17a95",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pr_NH_lag0 = data_kw['precipitationCal'].sel(lat=slice(-20,20),lon=slice(225,285), time = time_NH).mean(dim=('time'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "61784560-6a87-4b05-8a2f-650fc28afc14",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x2300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot to choose latitude window for hovmoller plot\n",
    "\n",
    "color_map = plt.matplotlib.colormaps.get_cmap('Blues')\n",
    "npan = 1\n",
    "fig = plt.figure(figsize=(12, 23),constrained_layout=True)\n",
    "for j in range(0,npan,1):\n",
    "    ax1 = fig.add_subplot(npan,2,j+1,projection=ccrs.PlateCarree(central_longitude=180.))\n",
    "    ax1.coastlines('50m')\n",
    "    gl = ax1.gridlines(draw_labels=True, crs=ccrs.PlateCarree())\n",
    "    gl.top_labels = False\n",
    "    gl.right_labels = False\n",
    "    \n",
    "    \n",
    "    if j == 0: \n",
    "        plt.title(wave, loc='left',fontsize=15)\n",
    "        cf = plt.contourf(pr_NH_lag0['lon'], pr_NH_lag0['lat'], pr_NH_lag0, cmap=color_map, transform=ccrs.PlateCarree())\n",
    "        cb = plt.colorbar(cf, orientation='horizontal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9ba7248c-da99-4d02-9a45-45b5347b87e6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Chosen latitude  & longitude window\n",
    "\n",
    "latitude_s = 2.5\n",
    "latitude_n = 7.5\n",
    "\n",
    "longi_w= 100\n",
    "longi_e= 359"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "52f57ae5-cc21-4072-a23c-ab80a1bb545c",
   "metadata": {
    "tags": []
   },
   "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",
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       "\n",
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       "\n",
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       "\n",
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       ".xr-icon-file-text2,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;precipitationCal&#x27; (time: 201, lat: 5, lon: 260)&gt;\n",
       "array([[[ 0.5201673 ,  0.61736757,  0.6918858 , ...,  3.8058152 ,\n",
       "          4.175749  ,  4.450759  ],\n",
       "        [ 4.0394707 ,  3.6300945 ,  3.1206923 , ...,  4.1831856 ,\n",
       "          4.570413  ,  4.875915  ],\n",
       "        [ 0.45713043,  0.63542426,  0.8152202 , ...,  3.0512352 ,\n",
       "          3.476442  ,  3.8112621 ],\n",
       "        [ 1.5681391 ,  1.6598164 ,  1.7064818 , ...,  0.16455019,\n",
       "          0.5867444 ,  0.98449826],\n",
       "        [ 1.1109554 ,  0.9494277 ,  0.6868949 , ..., -0.7180476 ,\n",
       "         -0.5340754 , -0.35872576]],\n",
       "\n",
       "       [[-1.4036001 , -1.8992543 , -2.400151  , ...,  3.4733133 ,\n",
       "          3.435616  ,  3.3354607 ],\n",
       "        [-0.92965215, -1.0816518 , -1.2726504 , ...,  1.9607462 ,\n",
       "          2.339947  ,  2.654354  ],\n",
       "        [-2.8680134 , -2.8551455 , -2.900744  , ...,  3.7515056 ,\n",
       "          3.6074815 ,  3.4023004 ],\n",
       "        [-5.780384  , -5.546012  , -5.2707415 , ...,  1.2394453 ,\n",
       "          1.1510433 ,  1.0005243 ],\n",
       "        [-4.528138  , -4.7921276 , -5.103136  , ..., -0.58579636,\n",
       "...\n",
       "         -4.032338  , -4.0642366 ],\n",
       "        [-0.6023281 , -0.58626324, -0.5639798 , ..., -4.839017  ,\n",
       "         -4.8690853 , -4.813527  ],\n",
       "        [ 0.13178113, -0.22256559, -0.5897021 , ...,  1.3399248 ,\n",
       "          1.1096058 ,  0.8272916 ],\n",
       "        [-1.6733963 , -2.0233605 , -2.3761778 , ...,  0.5541093 ,\n",
       "          1.0174141 ,  1.4448638 ],\n",
       "        [-0.40323737, -0.50694203, -0.59885216, ...,  1.8145008 ,\n",
       "          2.0931864 ,  2.3520248 ]],\n",
       "\n",
       "       [[ 1.5056753 ,  1.6939137 ,  1.8473445 , ..., -0.08993867,\n",
       "          1.3353305 ,  2.710588  ],\n",
       "        [-0.4321555 , -0.0737021 ,  0.3097067 , ..., -6.137451  ,\n",
       "         -5.1652675 , -4.211748  ],\n",
       "        [-1.3813139 , -1.4434422 , -1.4104785 , ..., -3.6308975 ,\n",
       "         -3.900912  , -4.1509037 ],\n",
       "        [-0.5155967 , -0.4580594 , -0.3597331 , ..., -0.08089751,\n",
       "         -0.3969047 , -0.79847157],\n",
       "        [ 0.53545153,  1.0244528 ,  1.5075469 , ..., -1.310341  ,\n",
       "         -1.2050271 , -1.1052963 ]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2001-02-08 2001-02-14 ... 2021-04-26\n",
       "  * lat      (lat) float64 3.0 4.0 5.0 6.0 7.0\n",
       "  * lon      (lon) float64 100.0 101.0 102.0 103.0 ... 356.0 357.0 358.0 359.0</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'>'precipitationCal'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 201</li><li><span class='xr-has-index'>lat</span>: 5</li><li><span class='xr-has-index'>lon</span>: 260</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f39bfe5c-8644-4e7b-88a5-d2c1cc71a8b9' class='xr-array-in' type='checkbox' checked><label for='section-f39bfe5c-8644-4e7b-88a5-d2c1cc71a8b9' 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>0.5202 0.6174 0.6919 0.727 0.7082 ... -1.414 -1.31 -1.205 -1.105</span></div><div class='xr-array-data'><pre>array([[[ 0.5201673 ,  0.61736757,  0.6918858 , ...,  3.8058152 ,\n",
       "          4.175749  ,  4.450759  ],\n",
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       "          4.570413  ,  4.875915  ],\n",
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       "          3.476442  ,  3.8112621 ],\n",
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       "          0.5867444 ,  0.98449826],\n",
       "        [ 1.1109554 ,  0.9494277 ,  0.6868949 , ..., -0.7180476 ,\n",
       "         -0.5340754 , -0.35872576]],\n",
       "\n",
       "       [[-1.4036001 , -1.8992543 , -2.400151  , ...,  3.4733133 ,\n",
       "          3.435616  ,  3.3354607 ],\n",
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       "          2.339947  ,  2.654354  ],\n",
       "        [-2.8680134 , -2.8551455 , -2.900744  , ...,  3.7515056 ,\n",
       "          3.6074815 ,  3.4023004 ],\n",
       "        [-5.780384  , -5.546012  , -5.2707415 , ...,  1.2394453 ,\n",
       "          1.1510433 ,  1.0005243 ],\n",
       "        [-4.528138  , -4.7921276 , -5.103136  , ..., -0.58579636,\n",
       "...\n",
       "         -4.032338  , -4.0642366 ],\n",
       "        [-0.6023281 , -0.58626324, -0.5639798 , ..., -4.839017  ,\n",
       "         -4.8690853 , -4.813527  ],\n",
       "        [ 0.13178113, -0.22256559, -0.5897021 , ...,  1.3399248 ,\n",
       "          1.1096058 ,  0.8272916 ],\n",
       "        [-1.6733963 , -2.0233605 , -2.3761778 , ...,  0.5541093 ,\n",
       "          1.0174141 ,  1.4448638 ],\n",
       "        [-0.40323737, -0.50694203, -0.59885216, ...,  1.8145008 ,\n",
       "          2.0931864 ,  2.3520248 ]],\n",
       "\n",
       "       [[ 1.5056753 ,  1.6939137 ,  1.8473445 , ..., -0.08993867,\n",
       "          1.3353305 ,  2.710588  ],\n",
       "        [-0.4321555 , -0.0737021 ,  0.3097067 , ..., -6.137451  ,\n",
       "         -5.1652675 , -4.211748  ],\n",
       "        [-1.3813139 , -1.4434422 , -1.4104785 , ..., -3.6308975 ,\n",
       "         -3.900912  , -4.1509037 ],\n",
       "        [-0.5155967 , -0.4580594 , -0.3597331 , ..., -0.08089751,\n",
       "         -0.3969047 , -0.79847157],\n",
       "        [ 0.53545153,  1.0244528 ,  1.5075469 , ..., -1.310341  ,\n",
       "         -1.2050271 , -1.1052963 ]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-d2a178e4-af80-45a2-a356-f0d3ccccda87' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d2a178e4-af80-45a2-a356-f0d3ccccda87' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-02-08 ... 2021-04-26</div><input id='attrs-0f6c4973-f89f-4d71-b6e5-8762a661bdc7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f6c4973-f89f-4d71-b6e5-8762a661bdc7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edd0e65d-9ef7-46a4-bcf6-c192dd2e1855' class='xr-var-data-in' type='checkbox'><label for='data-edd0e65d-9ef7-46a4-bcf6-c192dd2e1855' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-02-08T00:00:00.000000000&#x27;, &#x27;2001-02-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-15T00:00:00.000000000&#x27;, ..., &#x27;2021-04-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-04-22T00:00:00.000000000&#x27;, &#x27;2021-04-26T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><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'>float64</div><div class='xr-var-preview xr-preview'>3.0 4.0 5.0 6.0 7.0</div><input id='attrs-9454e9be-d079-4d71-8a09-7b7f5a543c65' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9454e9be-d079-4d71-8a09-7b7f5a543c65' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dcac3cc0-c5a3-49e9-8535-9cd323f7f1a3' class='xr-var-data-in' type='checkbox'><label for='data-dcac3cc0-c5a3-49e9-8535-9cd323f7f1a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>Y</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd></dl></div><div class='xr-var-data'><pre>array([3., 4., 5., 6., 7.])</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'>float64</div><div class='xr-var-preview xr-preview'>100.0 101.0 102.0 ... 358.0 359.0</div><input id='attrs-62cb0c42-01ae-453a-a828-2b6ac6bae62b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-62cb0c42-01ae-453a-a828-2b6ac6bae62b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-029e97f3-f5fe-4eb9-8810-740ec2a86c96' class='xr-var-data-in' type='checkbox'><label for='data-029e97f3-f5fe-4eb9-8810-740ec2a86c96' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([100., 101., 102., ..., 357., 358., 359.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-901032b0-57f9-4d78-9fda-d9dc4c1fd8a8' class='xr-section-summary-in' type='checkbox'  ><label for='section-901032b0-57f9-4d78-9fda-d9dc4c1fd8a8' class='xr-section-summary' >Indexes: <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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-a912f79f-be73-4005-a404-3ebb24273d79' class='xr-index-data-in' type='checkbox'/><label for='index-a912f79f-be73-4005-a404-3ebb24273d79' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2001-02-08&#x27;, &#x27;2001-02-14&#x27;, &#x27;2001-02-15&#x27;, &#x27;2001-02-17&#x27;,\n",
       "               &#x27;2001-02-19&#x27;, &#x27;2001-03-03&#x27;, &#x27;2001-03-06&#x27;, &#x27;2001-03-08&#x27;,\n",
       "               &#x27;2001-04-05&#x27;, &#x27;2001-04-09&#x27;,\n",
       "               ...\n",
       "               &#x27;2020-02-27&#x27;, &#x27;2020-04-12&#x27;, &#x27;2021-02-03&#x27;, &#x27;2021-02-06&#x27;,\n",
       "               &#x27;2021-03-27&#x27;, &#x27;2021-04-08&#x27;, &#x27;2021-04-13&#x27;, &#x27;2021-04-16&#x27;,\n",
       "               &#x27;2021-04-22&#x27;, &#x27;2021-04-26&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=201, freq=None))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lat</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-79beacb5-cdb9-4629-a11f-1b53d40a72a7' class='xr-index-data-in' type='checkbox'/><label for='index-79beacb5-cdb9-4629-a11f-1b53d40a72a7' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([3.0, 4.0, 5.0, 6.0, 7.0], dtype=&#x27;float64&#x27;, name=&#x27;lat&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>lon</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4504c2ae-27fd-4597-9d10-2e989a77180d' class='xr-index-data-in' type='checkbox'/><label for='index-4504c2ae-27fd-4597-9d10-2e989a77180d' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0,\n",
       "              109.0,\n",
       "              ...\n",
       "              350.0, 351.0, 352.0, 353.0, 354.0, 355.0, 356.0, 357.0, 358.0,\n",
       "              359.0],\n",
       "             dtype=&#x27;float64&#x27;, name=&#x27;lon&#x27;, length=260))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c03f90f8-2daf-4baa-8b6e-a61f5698d666' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c03f90f8-2daf-4baa-8b6e-a61f5698d666' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
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       "<xarray.DataArray 'precipitationCal' (time: 201, lat: 5, lon: 260)>\n",
       "array([[[ 0.5201673 ,  0.61736757,  0.6918858 , ...,  3.8058152 ,\n",
       "          4.175749  ,  4.450759  ],\n",
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       "          4.570413  ,  4.875915  ],\n",
       "        [ 0.45713043,  0.63542426,  0.8152202 , ...,  3.0512352 ,\n",
       "          3.476442  ,  3.8112621 ],\n",
       "        [ 1.5681391 ,  1.6598164 ,  1.7064818 , ...,  0.16455019,\n",
       "          0.5867444 ,  0.98449826],\n",
       "        [ 1.1109554 ,  0.9494277 ,  0.6868949 , ..., -0.7180476 ,\n",
       "         -0.5340754 , -0.35872576]],\n",
       "\n",
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       "          3.435616  ,  3.3354607 ],\n",
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       "          3.6074815 ,  3.4023004 ],\n",
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       "          1.1510433 ,  1.0005243 ],\n",
       "        [-4.528138  , -4.7921276 , -5.103136  , ..., -0.58579636,\n",
       "...\n",
       "         -4.032338  , -4.0642366 ],\n",
       "        [-0.6023281 , -0.58626324, -0.5639798 , ..., -4.839017  ,\n",
       "         -4.8690853 , -4.813527  ],\n",
       "        [ 0.13178113, -0.22256559, -0.5897021 , ...,  1.3399248 ,\n",
       "          1.1096058 ,  0.8272916 ],\n",
       "        [-1.6733963 , -2.0233605 , -2.3761778 , ...,  0.5541093 ,\n",
       "          1.0174141 ,  1.4448638 ],\n",
       "        [-0.40323737, -0.50694203, -0.59885216, ...,  1.8145008 ,\n",
       "          2.0931864 ,  2.3520248 ]],\n",
       "\n",
       "       [[ 1.5056753 ,  1.6939137 ,  1.8473445 , ..., -0.08993867,\n",
       "          1.3353305 ,  2.710588  ],\n",
       "        [-0.4321555 , -0.0737021 ,  0.3097067 , ..., -6.137451  ,\n",
       "         -5.1652675 , -4.211748  ],\n",
       "        [-1.3813139 , -1.4434422 , -1.4104785 , ..., -3.6308975 ,\n",
       "         -3.900912  , -4.1509037 ],\n",
       "        [-0.5155967 , -0.4580594 , -0.3597331 , ..., -0.08089751,\n",
       "         -0.3969047 , -0.79847157],\n",
       "        [ 0.53545153,  1.0244528 ,  1.5075469 , ..., -1.310341  ,\n",
       "         -1.2050271 , -1.1052963 ]]], dtype=float32)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2001-02-08 2001-02-14 ... 2021-04-26\n",
       "  * lat      (lat) float64 3.0 4.0 5.0 6.0 7.0\n",
       "  * lon      (lon) float64 100.0 101.0 102.0 103.0 ... 356.0 357.0 358.0 359.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_avg = data_kw['precipitationCal'].sel(lat=slice(latitude_s,latitude_n),lon=slice(longi_w,longi_e), time=time_NH).compute()\n",
    "pr_avg"
   ]
  },
  {
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   "execution_count": 15,
   "id": "18a34953-8919-44ff-80ee-a50a7697628b",
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   },
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (day: 31)&gt;\n",
       "array([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "        -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "        11,  12,  13,  14,  15])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15</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'>day</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c640c601-8e18-4786-877a-c755ccbdcb64' class='xr-array-in' type='checkbox' checked><label for='section-c640c601-8e18-4786-877a-c755ccbdcb64' 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>-15 -14 -13 -12 -11 -10 -9 -8 -7 -6 -5 ... 5 6 7 8 9 10 11 12 13 14 15</span></div><div class='xr-array-data'><pre>array([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "        -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "        11,  12,  13,  14,  15])</pre></div></div></li><li class='xr-section-item'><input id='section-2bb67506-9f6e-4924-a325-96d8bd127a7a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2bb67506-9f6e-4924-a325-96d8bd127a7a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15 -14 -13 -12 -11 ... 12 13 14 15</div><input id='attrs-6bc42d15-8219-4499-ad16-630be4ed6e7b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6bc42d15-8219-4499-ad16-630be4ed6e7b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90e37809-751b-42a1-bb0b-22a36b7110b5' class='xr-var-data-in' type='checkbox'><label for='data-90e37809-751b-42a1-bb0b-22a36b7110b5' 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([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,\n",
       "        -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4d3dc31-4dc3-47b6-b127-3e5f074c0fde' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4d3dc31-4dc3-47b6-b127-3e5f074c0fde' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>day</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ed562d10-453d-4ddd-b623-b7e25a49bd8f' class='xr-index-data-in' type='checkbox'/><label for='index-ed562d10-453d-4ddd-b623-b7e25a49bd8f' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "             -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "             11,  12,  13,  14,  15],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;day&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-900d9901-09cb-4ab9-8158-4bef3adb5365' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-900d9901-09cb-4ab9-8158-4bef3adb5365' 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 (day: 31)>\n",
       "array([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "        -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "        11,  12,  13,  14,  15])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day = np.arange(-15,16,1)\n",
    "nlag = len(day)\n",
    "lag_xr = xr.DataArray(day, coords=[day], dims=['day'])\n",
    "lag_xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "29baac51-a049-4a98-abf1-759702cc1ca9",
   "metadata": {
    "tags": []
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "260"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lon = pr_avg['lon']\n",
    "lat = pr_avg['lat']\n",
    "nlon = len(lon)\n",
    "nlat = len(lat)\n",
    "nlon"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "93edb893-4910-41b6-b336-9d0561b118b4",
   "metadata": {
    "tags": []
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5, 260, 31)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kw_lag_avg = np.zeros((nlag,nlon))\n",
    "kw_lag_std = np.zeros((nlag,nlon))\n",
    "\n",
    "pr_kelvin_lreg_NH = np.zeros((nlat,nlon,nlag))\n",
    "pr_kelvin_corr_NH = np.zeros((nlat,nlon,nlag))\n",
    "pr_kelvin_lreg_NH.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5b9d1f8a-05e7-4c1e-ae50-f1a9928c257e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for t in range(0,nlag,1):\n",
    "    lag = time_NH+np.timedelta64(int(lag_xr[t].values),'D')\n",
    "    kw_lag = data_kw['precipitationCal'].sel(time=lag, lat=slice(latitude_s,latitude_n),lon=slice(longi_w,longi_e))\n",
    "    kw_lag_avg[t,:] = kw_lag.mean(dim='lat').mean(dim='time')\n",
    "    kw_lag_std[t,:] = kw_lag.mean(dim='lat').std(dim='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "a2073820-7405-4542-bbbb-974152c91236",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#create xarray\n",
    "\n",
    "pr_kelvin_lag_avg_xr = xr.DataArray(kw_lag_avg, coords=[day, lon], dims=('day','lon'))\n",
    "pr_kelvin_lag_std_xr = xr.DataArray(kw_lag_std, coords=[day, lon], dims=('day','lon'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f77727c0-d04b-4455-ac97-2ac34f56c842",
   "metadata": {
    "tags": []
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   "outputs": [],
   "source": [
    "dtime = 0.125\n",
    "lags_subdaily = np.arange(-15,15+dtime,dtime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0d2d8ec7-6bfe-459e-a6e9-456de147b9f5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "kw_lag_avg_interp = pr_kelvin_lag_avg_xr.interp(day=lags_subdaily,method='cubic')\n",
    "kw_lag_std_interp = pr_kelvin_lag_std_xr.interp(day=lags_subdaily,method='cubic')\n",
    "\n",
    "day_subdaily = kw_lag_avg_interp['day']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7b04d08b-b0f9-4207-93e2-7233b8318d1a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pr_kelvin_lag_avg_xr.name = \"precipitationCal\"\n",
    "pr_kelvin_lag_std_xr.name = \"precipitationCal\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "e9598983-d552-4deb-9143-299d1d783bb9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# t-val\n",
    "\n",
    "t_val = (kw_lag_avg_interp/kw_lag_std_interp) * (((len(time_NH)-1))**(1/2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "b0207eb6-5feb-4319-9bf2-187e9e52d2c5",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#p-val\n",
    "\n",
    "p_val = scipy.stats.t.sf(abs(t_val), df=len(time_NH)-1)*2\n",
    "p_val_xr = xr.DataArray(p_val, coords=[day_subdaily, lon], dims=('day','lon'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e1cd6b18-15da-43f1-bbab-fb1dd723f961",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "p_val_true = kw_lag_avg_interp.where(p_val<= 0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "f0c99398-5106-40cf-ab38-6526417408d7",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "p_val_true.name = \"precipitationCal\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0e87c0c7-c41d-4c2d-9e82-e1d76a9f945f",
   "metadata": {},
   "outputs": [],
   "source": [
    "dro = '/home/ffahrin/test/IMERG/rolling_avg/'\n",
    "fn_output = wave+'_NH_base_strong_pr.nc'\n",
    "    \n",
    "# save netcdf \n",
    "p_val_true.to_netcdf(path=dro+fn_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "65910cc9-1057-4ca9-b72f-2cfabf44c601",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#load ITCZ state data\n",
    "\n",
    "dri = '/home/ffahrin/test/IMERG/ITCZ_states/'\n",
    "fn  = 'IMERG_ITCZ_st_daily_EastPac_60prc.nc'\n",
    "\n",
    "data_itcz = xr.open_dataset(dri+fn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0792b2b3-8fc8-4c8c-af96-352dc0c243b9",
   "metadata": {
    "tags": []
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       "\n",
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       "\n",
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       ".xr-icon-file-text2,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;itcz_state&#x27; (time: 1874)&gt;\n",
       "[1874 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2001-02-01 2001-02-02 ... 2021-04-30\n",
       "Attributes:\n",
       "    long_name:  IMERG daily ITCZ state\n",
       "    region:     East Pacific Ocean (90-135W)\n",
       "    method:     Algorithm developed for daily averaged precipitation rate</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'>'itcz_state'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1874</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2c8f8326-4412-42f3-a6db-fd54c765f6f3' class='xr-array-in' type='checkbox' checked><label for='section-2c8f8326-4412-42f3-a6db-fd54c765f6f3' 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>...</span></div><div class='xr-array-data'><pre>[1874 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-b67df18d-3103-473f-adca-f218a94aefe5' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b67df18d-3103-473f-adca-f218a94aefe5' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2001-02-01 ... 2021-04-30</div><input id='attrs-8c7afcd0-cfec-4d13-8673-6f69e060edb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c7afcd0-cfec-4d13-8673-6f69e060edb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e95e17c-60a5-4158-b23a-9c46c7a736ae' class='xr-var-data-in' type='checkbox'><label for='data-6e95e17c-60a5-4158-b23a-9c46c7a736ae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>bounds :</span></dt><dd>time_bnds</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2001-02-01T00:00:00.000000000&#x27;, &#x27;2001-02-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2001-02-03T00:00:00.000000000&#x27;, ..., &#x27;2021-04-28T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-04-29T00:00:00.000000000&#x27;, &#x27;2021-04-30T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-833c01c5-df7d-4f6a-8e8e-c9e6cd13434f' class='xr-section-summary-in' type='checkbox'  ><label for='section-833c01c5-df7d-4f6a-8e8e-c9e6cd13434f' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-016531b2-935c-4926-a288-8f2cd709a946' class='xr-index-data-in' type='checkbox'/><label for='index-016531b2-935c-4926-a288-8f2cd709a946' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;2001-02-01&#x27;, &#x27;2001-02-02&#x27;, &#x27;2001-02-03&#x27;, &#x27;2001-02-04&#x27;,\n",
       "               &#x27;2001-02-05&#x27;, &#x27;2001-02-06&#x27;, &#x27;2001-02-07&#x27;, &#x27;2001-02-08&#x27;,\n",
       "               &#x27;2001-02-09&#x27;, &#x27;2001-02-10&#x27;,\n",
       "               ...\n",
       "               &#x27;2021-04-21&#x27;, &#x27;2021-04-22&#x27;, &#x27;2021-04-23&#x27;, &#x27;2021-04-24&#x27;,\n",
       "               &#x27;2021-04-25&#x27;, &#x27;2021-04-26&#x27;, &#x27;2021-04-27&#x27;, &#x27;2021-04-28&#x27;,\n",
       "               &#x27;2021-04-29&#x27;, &#x27;2021-04-30&#x27;],\n",
       "              dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, length=1874, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c3a301ab-9e82-43e4-ab3a-3170c308de09' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c3a301ab-9e82-43e4-ab3a-3170c308de09' class='xr-section-summary' >Attributes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>IMERG daily ITCZ state</dd><dt><span>region :</span></dt><dd>East Pacific Ocean (90-135W)</dd><dt><span>method :</span></dt><dd>Algorithm developed for daily averaged precipitation rate</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'itcz_state' (time: 1874)>\n",
       "[1874 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2001-02-01 2001-02-02 ... 2021-04-30\n",
       "Attributes:\n",
       "    long_name:  IMERG daily ITCZ state\n",
       "    region:     East Pacific Ocean (90-135W)\n",
       "    method:     Algorithm developed for daily averaged precipitation rate"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "itcz_new_xr = data_itcz['itcz_state'].sel(time=time_fma)\n",
    "itcz_new_xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "bad12dc9-8bc5-4f91-b82f-c108b5862341",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "cond_dITCZ = (itcz_new_xr == 1)\n",
    "cond_nITCZ = (itcz_new_xr == 2)\n",
    "cond_sITCZ = (itcz_new_xr == 3)\n",
    "cond_aITCZ = (itcz_new_xr == 4)\n",
    "cond_eITCZ = (itcz_new_xr == 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5bc95e84-cf6a-4975-a5b0-589b2e1f5899",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "prc_dITCZ = round(len(itcz_new_xr.where((cond_dITCZ), drop=True))/(len(time_fma))*100,1)\n",
    "prc_nITCZ = round(len(itcz_new_xr.where((cond_nITCZ), drop=True))/(len(time_fma))*100,1)\n",
    "prc_sITCZ = round(len(itcz_new_xr.where((cond_sITCZ), drop=True))/(len(time_fma))*100,1)\n",
    "prc_aITCZ = round(len(itcz_new_xr.where((cond_aITCZ), drop=True))/(len(time_fma))*100,1)\n",
    "prc_eITCZ = round(len(itcz_new_xr.where((cond_eITCZ), drop=True))/(len(time_fma))*100,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "bd3c80d2-776d-4035-b91a-33719572898c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Double     ITCZ happens 13.2% of the time.\n",
      "Northern   ITCZ happens 60.2% of the time.\n",
      "Southern   ITCZ happens 14.6% of the time.\n",
      "Absent     ITCZ happens 9.4% of the time.\n",
      "Equatorial ITCZ happens 2.6% of the time.\n"
     ]
    }
   ],
   "source": [
    "print('Double     ITCZ happens '+str(prc_dITCZ)+'% of the time.')\n",
    "print('Northern   ITCZ happens '+str(prc_nITCZ)+'% of the time.')\n",
    "print('Southern   ITCZ happens '+str(prc_sITCZ)+'% of the time.')\n",
    "print('Absent     ITCZ happens '+str(prc_aITCZ)+'% of the time.')\n",
    "print('Equatorial ITCZ happens '+str(prc_eITCZ)+'% of the time.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f34315e7-d910-4bfe-8b69-b9bda61b34fd",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "time=time_NH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c45f83b4-6182-4cbd-8098-07e468981420",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pr_dITCZ_st = np.zeros((nlag))\n",
    "pr_nITCZ_st = np.zeros((nlag))\n",
    "pr_sITCZ_st = np.zeros((nlag))\n",
    "pr_aITCZ_st = np.zeros((nlag))\n",
    "pr_eITCZ_st = np.zeros((nlag))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "729f2f53-08e4-4dff-b22d-bc36fb5ec64f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "for t in range(0,nlag,1):\n",
    "    lag = time_NH+np.timedelta64(int(lag_xr[t].values),'D')\n",
    "    itcz_state_xr = data_itcz['itcz_state'].sel(time=lag)\n",
    "    cnd_dITCZ = (itcz_state_xr == 1)\n",
    "    cnd_nITCZ = (itcz_state_xr == 2)\n",
    "    cnd_sITCZ = (itcz_state_xr == 3)\n",
    "    cnd_aITCZ = (itcz_state_xr == 4)\n",
    "    cnd_eITCZ = (itcz_state_xr == 5)\n",
    "    pr_dITCZ_st[t] = round(len(itcz_state_xr.where((cnd_dITCZ), drop=True))/(len(time))*100,1)-prc_dITCZ\n",
    "    pr_nITCZ_st[t] = round(len(itcz_state_xr.where((cnd_nITCZ), drop=True))/(len(time))*100,1)-prc_nITCZ\n",
    "    pr_sITCZ_st[t] = round(len(itcz_state_xr.where((cnd_sITCZ), drop=True))/(len(time))*100,1)-prc_sITCZ\n",
    "    pr_aITCZ_st[t] = round(len(itcz_state_xr.where((cnd_aITCZ), drop=True))/(len(time))*100,1)-prc_aITCZ\n",
    "    pr_eITCZ_st[t] = round(len(itcz_state_xr.where((cnd_eITCZ), drop=True))/(len(time))*100,1)-prc_eITCZ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "4fc6ac15-5dbe-4243-a05f-15fdf0c5854e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "\n",
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       "\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (day: 31)&gt;\n",
       "array([  nan,   nan, -1.5 , -0.6 ,  0.9 ,  0.9 ,  0.9 ,  2.  ,  2.7 ,\n",
       "        3.4 ,  4.1 ,  4.2 ,  5.4 ,  7.38,  8.08,  8.28,  9.76, 10.04,\n",
       "        9.26,  9.36,  9.26,  8.68,  8.88,  8.68,  8.58,  9.76, 10.44,\n",
       "        9.96, 10.94,   nan,   nan])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15</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'>day</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-306b49e6-4179-443b-a77f-845d9b9dac9f' class='xr-array-in' type='checkbox' checked><label for='section-306b49e6-4179-443b-a77f-845d9b9dac9f' 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>nan nan -1.5 -0.6 0.9 0.9 0.9 ... 8.58 9.76 10.44 9.96 10.94 nan nan</span></div><div class='xr-array-data'><pre>array([  nan,   nan, -1.5 , -0.6 ,  0.9 ,  0.9 ,  0.9 ,  2.  ,  2.7 ,\n",
       "        3.4 ,  4.1 ,  4.2 ,  5.4 ,  7.38,  8.08,  8.28,  9.76, 10.04,\n",
       "        9.26,  9.36,  9.26,  8.68,  8.88,  8.68,  8.58,  9.76, 10.44,\n",
       "        9.96, 10.94,   nan,   nan])</pre></div></div></li><li class='xr-section-item'><input id='section-ec8685e3-15fd-42cf-8192-0c289c799e8c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ec8685e3-15fd-42cf-8192-0c289c799e8c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15 -14 -13 -12 -11 ... 12 13 14 15</div><input id='attrs-a4f0bf2c-207f-452e-ab44-2dccd7e4e7f8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4f0bf2c-207f-452e-ab44-2dccd7e4e7f8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e28a335-1d9d-4fd6-87bd-0eb02809a055' class='xr-var-data-in' type='checkbox'><label for='data-0e28a335-1d9d-4fd6-87bd-0eb02809a055' 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([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,\n",
       "        -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ab29db6-6627-47a0-b9b4-40d233e0f655' class='xr-section-summary-in' type='checkbox'  ><label for='section-1ab29db6-6627-47a0-b9b4-40d233e0f655' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>day</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ef3f9b45-118e-459f-bf11-7f9962d3044b' class='xr-index-data-in' type='checkbox'/><label for='index-ef3f9b45-118e-459f-bf11-7f9962d3044b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "             -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "             11,  12,  13,  14,  15],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;day&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d0f1c73e-f902-4067-b13e-ad8445631ad5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d0f1c73e-f902-4067-b13e-ad8445631ad5' 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 (day: 31)>\n",
       "array([  nan,   nan, -1.5 , -0.6 ,  0.9 ,  0.9 ,  0.9 ,  2.  ,  2.7 ,\n",
       "        3.4 ,  4.1 ,  4.2 ,  5.4 ,  7.38,  8.08,  8.28,  9.76, 10.04,\n",
       "        9.26,  9.36,  9.26,  8.68,  8.88,  8.68,  8.58,  9.76, 10.44,\n",
       "        9.96, 10.94,   nan,   nan])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_nITCZ_st_xr=  xr.DataArray(pr_nITCZ_st, coords=[day], dims=('day'))\n",
    "pr_nITCZ_rolling = pr_nITCZ_st_xr.rolling(day=5,center=True).mean()\n",
    "pr_nITCZ_rolling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "b4f0453a-f957-4d52-b492-d3923b5f429c",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       " *\n",
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       "\n",
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       ".xr-header > ul {\n",
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       "\n",
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       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
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       "  grid-column: 1;\n",
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       "\n",
       ".xr-section-summary > span {\n",
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       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
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       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
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       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
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       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
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       "\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",
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       "\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",
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       "\n",
       ".xr-var-dims {\n",
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       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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 (day: 31)&gt;\n",
       "array([  nan,   nan, -0.9 , -0.7 , -0.3 , -0.88, -1.38, -1.68, -2.78,\n",
       "       -4.06, -4.66, -4.76, -5.14, -6.12, -6.02, -5.42, -6.1 , -6.1 ,\n",
       "       -5.9 , -5.52, -5.52, -5.72, -6.02, -5.72, -5.9 , -5.9 , -5.6 ,\n",
       "       -5.3 , -5.4 ,   nan,   nan])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15</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'>day</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-dc7c92a2-bd3d-4577-8fbf-08a7fb90517c' class='xr-array-in' type='checkbox' checked><label for='section-dc7c92a2-bd3d-4577-8fbf-08a7fb90517c' 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>nan nan -0.9 -0.7 -0.3 -0.88 -1.38 ... -5.9 -5.6 -5.3 -5.4 nan nan</span></div><div class='xr-array-data'><pre>array([  nan,   nan, -0.9 , -0.7 , -0.3 , -0.88, -1.38, -1.68, -2.78,\n",
       "       -4.06, -4.66, -4.76, -5.14, -6.12, -6.02, -5.42, -6.1 , -6.1 ,\n",
       "       -5.9 , -5.52, -5.52, -5.72, -6.02, -5.72, -5.9 , -5.9 , -5.6 ,\n",
       "       -5.3 , -5.4 ,   nan,   nan])</pre></div></div></li><li class='xr-section-item'><input id='section-e7206898-ca35-4f76-95a2-2edeba092a69' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7206898-ca35-4f76-95a2-2edeba092a69' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15 -14 -13 -12 -11 ... 12 13 14 15</div><input id='attrs-964b1cb2-df56-425f-b933-38010b4a13e8' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-964b1cb2-df56-425f-b933-38010b4a13e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8ff0e15-e9de-42f8-ad66-f419d576afcc' class='xr-var-data-in' type='checkbox'><label for='data-f8ff0e15-e9de-42f8-ad66-f419d576afcc' 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([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,\n",
       "        -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-69c6a8c3-6edf-4776-94f0-1a405065733b' class='xr-section-summary-in' type='checkbox'  ><label for='section-69c6a8c3-6edf-4776-94f0-1a405065733b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>day</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6f4fff9a-fb51-4eea-8bfc-040e6d50ed77' class='xr-index-data-in' type='checkbox'/><label for='index-6f4fff9a-fb51-4eea-8bfc-040e6d50ed77' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "             -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "             11,  12,  13,  14,  15],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;day&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8ed1ea4c-e8a8-43ca-a6fc-d37e731d80ec' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8ed1ea4c-e8a8-43ca-a6fc-d37e731d80ec' 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 (day: 31)>\n",
       "array([  nan,   nan, -0.9 , -0.7 , -0.3 , -0.88, -1.38, -1.68, -2.78,\n",
       "       -4.06, -4.66, -4.76, -5.14, -6.12, -6.02, -5.42, -6.1 , -6.1 ,\n",
       "       -5.9 , -5.52, -5.52, -5.72, -6.02, -5.72, -5.9 , -5.9 , -5.6 ,\n",
       "       -5.3 , -5.4 ,   nan,   nan])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_sITCZ_st_xr=  xr.DataArray(pr_sITCZ_st, coords=[day], dims=('day'))\n",
    "pr_sITCZ_rolling = pr_sITCZ_st_xr.rolling(day=5,center=True).mean()\n",
    "pr_sITCZ_rolling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "e9b064c3-f751-489f-8099-8a344a8155fc",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "total = len(pr_nITCZ_st_xr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "7759d34c-b6cf-48ba-932f-91e1d69130bc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "\n",
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\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",
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       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
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       "  stroke: currentColor;\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (day: 31)&gt;\n",
       "array([-5.5 , -5.5 , -1.5 , -0.6 ,  0.9 ,  0.9 ,  0.9 ,  2.  ,  2.7 ,\n",
       "        3.4 ,  4.1 ,  4.2 ,  5.4 ,  7.38,  8.08,  8.28,  9.76, 10.04,\n",
       "        9.26,  9.36,  9.26,  8.68,  8.88,  8.68,  8.58,  9.76, 10.44,\n",
       "        9.96, 10.94,  9.5 , 12.4 ])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15</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'>day</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4bcf4810-94c9-4e12-a68f-6e6f58962792' class='xr-array-in' type='checkbox' checked><label for='section-4bcf4810-94c9-4e12-a68f-6e6f58962792' 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>-5.5 -5.5 -1.5 -0.6 0.9 0.9 0.9 ... 9.76 10.44 9.96 10.94 9.5 12.4</span></div><div class='xr-array-data'><pre>array([-5.5 , -5.5 , -1.5 , -0.6 ,  0.9 ,  0.9 ,  0.9 ,  2.  ,  2.7 ,\n",
       "        3.4 ,  4.1 ,  4.2 ,  5.4 ,  7.38,  8.08,  8.28,  9.76, 10.04,\n",
       "        9.26,  9.36,  9.26,  8.68,  8.88,  8.68,  8.58,  9.76, 10.44,\n",
       "        9.96, 10.94,  9.5 , 12.4 ])</pre></div></div></li><li class='xr-section-item'><input id='section-4871072e-d4fe-4e50-9204-fdc0e585ec30' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4871072e-d4fe-4e50-9204-fdc0e585ec30' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15 -14 -13 -12 -11 ... 12 13 14 15</div><input id='attrs-55957605-9404-422b-a4fe-582fd560e7af' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55957605-9404-422b-a4fe-582fd560e7af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64d37da6-cc85-4700-a57e-c8ec2a5980e6' class='xr-var-data-in' type='checkbox'><label for='data-64d37da6-cc85-4700-a57e-c8ec2a5980e6' 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([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,\n",
       "        -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-34f625d9-966e-4366-8c28-0c9bbdfa6c81' class='xr-section-summary-in' type='checkbox'  ><label for='section-34f625d9-966e-4366-8c28-0c9bbdfa6c81' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>day</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-716aed36-9361-4d6c-93d5-6ae96cae9623' class='xr-index-data-in' type='checkbox'/><label for='index-716aed36-9361-4d6c-93d5-6ae96cae9623' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "             -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "             11,  12,  13,  14,  15],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;day&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-480048f5-f35e-4af4-a72b-9497add8f3ab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-480048f5-f35e-4af4-a72b-9497add8f3ab' 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 (day: 31)>\n",
       "array([-5.5 , -5.5 , -1.5 , -0.6 ,  0.9 ,  0.9 ,  0.9 ,  2.  ,  2.7 ,\n",
       "        3.4 ,  4.1 ,  4.2 ,  5.4 ,  7.38,  8.08,  8.28,  9.76, 10.04,\n",
       "        9.26,  9.36,  9.26,  8.68,  8.88,  8.68,  8.58,  9.76, 10.44,\n",
       "        9.96, 10.94,  9.5 , 12.4 ])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_nITCZ_rolling[:2] = pr_nITCZ_st_xr[:2]\n",
    "pr_nITCZ_rolling[total-2:] = pr_nITCZ_st_xr[total-2:]\n",
    "pr_nITCZ_rolling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "ddc967e6-a926-437c-9658-2e9ee3832f4b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pr_nITCZ_rolling.name = \"percent\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0c047e43-0f74-49bb-920a-37fcabc1dd9b",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "dro = '/home/ffahrin/test/IMERG/rolling_avg/'\n",
    "fn_output = wave+'_NH_base_strong_nITCZ.nc'\n",
    "    \n",
    "# save netcdf \n",
    "pr_nITCZ_rolling.to_netcdf(path=dro+fn_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "7f690ae6-2678-43da-a9ef-4cb1ca7f4845",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
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       "\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",
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       "  padding-right: 10px;\n",
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       "\n",
       ".xr-attrs dd {\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (day: 31)&gt;\n",
       "array([ 1.3 , -1.7 , -0.9 , -0.7 , -0.3 , -0.88, -1.38, -1.68, -2.78,\n",
       "       -4.06, -4.66, -4.76, -5.14, -6.12, -6.02, -5.42, -6.1 , -6.1 ,\n",
       "       -5.9 , -5.52, -5.52, -5.72, -6.02, -5.72, -5.9 , -5.9 , -5.6 ,\n",
       "       -5.3 , -5.4 , -5.6 , -6.1 ])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15</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'>day</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1a90bdd1-3217-4b8e-805f-6c5d7e7387a2' class='xr-array-in' type='checkbox' checked><label for='section-1a90bdd1-3217-4b8e-805f-6c5d7e7387a2' 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>1.3 -1.7 -0.9 -0.7 -0.3 -0.88 -1.38 ... -5.9 -5.6 -5.3 -5.4 -5.6 -6.1</span></div><div class='xr-array-data'><pre>array([ 1.3 , -1.7 , -0.9 , -0.7 , -0.3 , -0.88, -1.38, -1.68, -2.78,\n",
       "       -4.06, -4.66, -4.76, -5.14, -6.12, -6.02, -5.42, -6.1 , -6.1 ,\n",
       "       -5.9 , -5.52, -5.52, -5.72, -6.02, -5.72, -5.9 , -5.9 , -5.6 ,\n",
       "       -5.3 , -5.4 , -5.6 , -6.1 ])</pre></div></div></li><li class='xr-section-item'><input id='section-c58769ee-f8ad-4598-b2e3-78627502b53c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c58769ee-f8ad-4598-b2e3-78627502b53c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15 -14 -13 -12 -11 ... 12 13 14 15</div><input id='attrs-e639649d-ce46-4874-9eb0-84f4cfa40c6c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e639649d-ce46-4874-9eb0-84f4cfa40c6c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cbcdedf9-ad67-4bfe-a9cc-3b9b7db2e7a8' class='xr-var-data-in' type='checkbox'><label for='data-cbcdedf9-ad67-4bfe-a9cc-3b9b7db2e7a8' 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([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,\n",
       "        -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-46674088-874b-4e74-adfc-3e0728181274' class='xr-section-summary-in' type='checkbox'  ><label for='section-46674088-874b-4e74-adfc-3e0728181274' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>day</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-cc0add33-3073-4e5c-be75-9d7a16c3b1b8' class='xr-index-data-in' type='checkbox'/><label for='index-cc0add33-3073-4e5c-be75-9d7a16c3b1b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "             -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "             11,  12,  13,  14,  15],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;day&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ba6030b8-d529-4fab-b800-28595ded153b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ba6030b8-d529-4fab-b800-28595ded153b' 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 (day: 31)>\n",
       "array([ 1.3 , -1.7 , -0.9 , -0.7 , -0.3 , -0.88, -1.38, -1.68, -2.78,\n",
       "       -4.06, -4.66, -4.76, -5.14, -6.12, -6.02, -5.42, -6.1 , -6.1 ,\n",
       "       -5.9 , -5.52, -5.52, -5.72, -6.02, -5.72, -5.9 , -5.9 , -5.6 ,\n",
       "       -5.3 , -5.4 , -5.6 , -6.1 ])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_sITCZ_rolling[:2] = pr_sITCZ_st_xr[:2]\n",
    "pr_sITCZ_rolling[total-2:] = pr_sITCZ_st_xr[total-2:]\n",
    "pr_sITCZ_rolling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "eba94b5b-c0c2-4501-ac0e-346ab139356c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pr_sITCZ_rolling.name = \"percent\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28426aba-f065-4cac-bdde-f3d3788f16ef",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "dro = '/home/ffahrin/test/IMERG/rolling_avg/'\n",
    "fn_output = wave+'_NH_base_strong_sITCZ.nc'\n",
    "    \n",
    "# save netcdf \n",
    "pr_sITCZ_rolling.to_netcdf(path=dro+fn_output)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "6feaa575-f51e-4b04-be32-34915506f520",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
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       "  --xr-background-color-row-even: var(--jp-layout-color1, white);\n",
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       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
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       "\n",
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       "\n",
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       "  padding-bottom: 6px;\n",
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       "}\n",
       "\n",
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       ".xr-header > ul {\n",
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       ".xr-section-item input:enabled + label:hover {\n",
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       "\n",
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       "\n",
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       "\n",
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       "\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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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 (day: 31)&gt;\n",
       "array([-1.0000000e-01, -6.0000000e-01, -3.0000000e-01, -4.0000000e-01,\n",
       "       -8.8817842e-17, -1.0000000e-01, -3.0000000e-01,  2.0000000e-01,\n",
       "        2.0000000e-01, -2.0000000e-01, -2.0000000e-01, -8.8817842e-17,\n",
       "       -5.0000000e-01, -6.0000000e-01, -9.0000000e-01, -1.0000000e+00,\n",
       "       -1.4000000e+00, -1.2000000e+00, -1.1000000e+00, -5.0000000e-01,\n",
       "        2.0000000e-01,  8.0000000e-01,  8.0000000e-01,  1.0000000e+00,\n",
       "        7.0000000e-01, -1.0000000e-01, -5.0000000e-01, -5.0000000e-01,\n",
       "       -4.0000000e-01, -1.0000000e-01,  9.0000000e-01])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15</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'>day</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-23a38ce1-9c65-45de-b369-dae64b342df2' class='xr-array-in' type='checkbox' checked><label for='section-23a38ce1-9c65-45de-b369-dae64b342df2' 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>-0.1 -0.6 -0.3 -0.4 -8.882e-17 -0.1 ... -0.1 -0.5 -0.5 -0.4 -0.1 0.9</span></div><div class='xr-array-data'><pre>array([-1.0000000e-01, -6.0000000e-01, -3.0000000e-01, -4.0000000e-01,\n",
       "       -8.8817842e-17, -1.0000000e-01, -3.0000000e-01,  2.0000000e-01,\n",
       "        2.0000000e-01, -2.0000000e-01, -2.0000000e-01, -8.8817842e-17,\n",
       "       -5.0000000e-01, -6.0000000e-01, -9.0000000e-01, -1.0000000e+00,\n",
       "       -1.4000000e+00, -1.2000000e+00, -1.1000000e+00, -5.0000000e-01,\n",
       "        2.0000000e-01,  8.0000000e-01,  8.0000000e-01,  1.0000000e+00,\n",
       "        7.0000000e-01, -1.0000000e-01, -5.0000000e-01, -5.0000000e-01,\n",
       "       -4.0000000e-01, -1.0000000e-01,  9.0000000e-01])</pre></div></div></li><li class='xr-section-item'><input id='section-0d926b8f-92ed-4c42-8f01-349956e09fdf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d926b8f-92ed-4c42-8f01-349956e09fdf' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15 -14 -13 -12 -11 ... 12 13 14 15</div><input id='attrs-16e1b3ce-32a2-44d3-aa9c-20788efbf466' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-16e1b3ce-32a2-44d3-aa9c-20788efbf466' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0b7f2bc-303b-4264-a3ff-cd9bc4314d16' class='xr-var-data-in' type='checkbox'><label for='data-b0b7f2bc-303b-4264-a3ff-cd9bc4314d16' 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([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,\n",
       "        -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-487b88e0-9fa2-4ea2-a504-58e46dccb196' class='xr-section-summary-in' type='checkbox'  ><label for='section-487b88e0-9fa2-4ea2-a504-58e46dccb196' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>day</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b8240be4-402a-426f-93f8-7b1e3dc3856c' class='xr-index-data-in' type='checkbox'/><label for='index-b8240be4-402a-426f-93f8-7b1e3dc3856c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "             -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "             11,  12,  13,  14,  15],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;day&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ad2319ca-e033-4d85-a0ef-ad0f8c07e5d3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ad2319ca-e033-4d85-a0ef-ad0f8c07e5d3' 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 (day: 31)>\n",
       "array([-1.0000000e-01, -6.0000000e-01, -3.0000000e-01, -4.0000000e-01,\n",
       "       -8.8817842e-17, -1.0000000e-01, -3.0000000e-01,  2.0000000e-01,\n",
       "        2.0000000e-01, -2.0000000e-01, -2.0000000e-01, -8.8817842e-17,\n",
       "       -5.0000000e-01, -6.0000000e-01, -9.0000000e-01, -1.0000000e+00,\n",
       "       -1.4000000e+00, -1.2000000e+00, -1.1000000e+00, -5.0000000e-01,\n",
       "        2.0000000e-01,  8.0000000e-01,  8.0000000e-01,  1.0000000e+00,\n",
       "        7.0000000e-01, -1.0000000e-01, -5.0000000e-01, -5.0000000e-01,\n",
       "       -4.0000000e-01, -1.0000000e-01,  9.0000000e-01])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_eITCZ_st_xr=  xr.DataArray(pr_eITCZ_st, coords=[day], dims=('day'))\n",
    "pr_eITCZ_rolling = pr_eITCZ_st_xr.rolling(day=5,center=True).mean()\n",
    "\n",
    "pr_eITCZ_rolling[:2] = pr_eITCZ_st_xr[:2]\n",
    "pr_eITCZ_rolling[total-2:] = pr_eITCZ_st_xr[total-2:]\n",
    "pr_eITCZ_rolling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "6481c718-661e-43d8-a5d2-01e890bf15ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
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       "  --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n",
       "}\n",
       "\n",
       "html[theme=dark],\n",
       "body[data-theme=dark],\n",
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       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
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       "\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",
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       "  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",
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       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
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       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
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       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
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       "\n",
       ".xr-section-summary {\n",
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       "\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",
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       "\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-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\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",
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-index-data-in:checked ~ .xr-index-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-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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 (day: 31)&gt;\n",
       "array([ 4.2,  3.7,  1.9,  1.3,  0.5,  1.9,  2.3,  1.6,  2. ,  2.7,  2.4,\n",
       "        2.8,  3.2,  3. ,  3. ,  2.3,  1.7,  1.3,  1. , -0.2, -0.2, -0.2,\n",
       "       -0.5, -0.6, -0.2, -0.7, -0.8, -0.2, -0.8,  1.2, -2.8])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15</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'>day</span>: 31</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-522fa74a-0daf-4e3a-8987-5fa1a10f6127' class='xr-array-in' type='checkbox' checked><label for='section-522fa74a-0daf-4e3a-8987-5fa1a10f6127' 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>4.2 3.7 1.9 1.3 0.5 1.9 2.3 1.6 ... -0.2 -0.7 -0.8 -0.2 -0.8 1.2 -2.8</span></div><div class='xr-array-data'><pre>array([ 4.2,  3.7,  1.9,  1.3,  0.5,  1.9,  2.3,  1.6,  2. ,  2.7,  2.4,\n",
       "        2.8,  3.2,  3. ,  3. ,  2.3,  1.7,  1.3,  1. , -0.2, -0.2, -0.2,\n",
       "       -0.5, -0.6, -0.2, -0.7, -0.8, -0.2, -0.8,  1.2, -2.8])</pre></div></div></li><li class='xr-section-item'><input id='section-36afdad4-8bd0-45ff-a0d1-cfd33715c3ca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-36afdad4-8bd0-45ff-a0d1-cfd33715c3ca' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>day</span></div><div class='xr-var-dims'>(day)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>-15 -14 -13 -12 -11 ... 12 13 14 15</div><input id='attrs-a4d6740e-f1a2-48ea-bf5b-814923e32d7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a4d6740e-f1a2-48ea-bf5b-814923e32d7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b0af909d-3b83-419d-bcfc-5ce33f64f4d4' class='xr-var-data-in' type='checkbox'><label for='data-b0af909d-3b83-419d-bcfc-5ce33f64f4d4' 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([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,  -2,\n",
       "        -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,\n",
       "        13,  14,  15])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-021f53ae-a7ec-4299-8256-e219360024b2' class='xr-section-summary-in' type='checkbox'  ><label for='section-021f53ae-a7ec-4299-8256-e219360024b2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>day</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-b26efc01-300f-4da2-97b1-a989fb5dcf9c' class='xr-index-data-in' type='checkbox'/><label for='index-b26efc01-300f-4da2-97b1-a989fb5dcf9c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Int64Index([-15, -14, -13, -12, -11, -10,  -9,  -8,  -7,  -6,  -5,  -4,  -3,\n",
       "             -2,  -1,   0,   1,   2,   3,   4,   5,   6,   7,   8,   9,  10,\n",
       "             11,  12,  13,  14,  15],\n",
       "           dtype=&#x27;int64&#x27;, name=&#x27;day&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-81887fbd-e319-4761-aeed-bd44be563bab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-81887fbd-e319-4761-aeed-bd44be563bab' 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 (day: 31)>\n",
       "array([ 4.2,  3.7,  1.9,  1.3,  0.5,  1.9,  2.3,  1.6,  2. ,  2.7,  2.4,\n",
       "        2.8,  3.2,  3. ,  3. ,  2.3,  1.7,  1.3,  1. , -0.2, -0.2, -0.2,\n",
       "       -0.5, -0.6, -0.2, -0.7, -0.8, -0.2, -0.8,  1.2, -2.8])\n",
       "Coordinates:\n",
       "  * day      (day) int64 -15 -14 -13 -12 -11 -10 -9 -8 ... 8 9 10 11 12 13 14 15"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pr_dITCZ_st_xr=  xr.DataArray(pr_dITCZ_st, coords=[day], dims=('day'))\n",
    "pr_dITCZ_rolling = pr_dITCZ_st_xr.rolling(day=5,center=True).mean()\n",
    "\n",
    "pr_dITCZ_rolling[:2] = pr_dITCZ_st_xr[:2]\n",
    "pr_dITCZ_rolling[total-2:] = pr_dITCZ_st_xr[total-2:]\n",
    "pr_dITCZ_rolling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "b14a6462-73ef-4eef-9645-7eb7c6ba09ae",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "pr_dITCZ_rolling.name = \"percent\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20993ffb-a4e6-42ce-8ce4-bd147cb757df",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "dro = '/home/ffahrin/test/IMERG/rolling_avg/'\n",
    "fn_output = wave+'_NH_base_strong_dITCZ.nc'\n",
    "    \n",
    "# save netcdf \n",
    "pr_dITCZ_rolling.to_netcdf(path=dro+fn_output)"
   ]
  }
 ],
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