IMERG_variance.ipynb

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   "source": [
    "## This code will calculate IMERG seasonal precipitation varaince and plot them \n",
    "\n",
    "Author: Fouzia Fahrin (ffahrin@iastate.edu)"
   ]
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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",
    "import matplotlib.ticker as mticker\n",
    "\n",
    "\n",
    "from mpl_toolkits.axes_grid1 import ImageGrid\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import matplotlib as mpl\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "from datetime import datetime\n",
    "\n",
    "import tol_colors as tc"
   ]
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   "source": [
    "figfolder = './figures/'\n",
    "dataset = 'IMERG'"
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    "dri = '/lss/research/agon-lab/IMERG-daily/NASA_interpolated/'\n",
    "fn = 'IMERG_20000601-20210930_anom_final.nc'\n",
    "\n",
    "data_pr = xr.open_dataset(dri+fn)"
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    "lats_eq = -15\n",
    "latn_eq = 15.\n",
    "lonw_eq = 225\n",
    "lone_eq = 285\n",
    "mn0 = 2\n",
    "mnf = 4\n",
    "yr0 = 2001\n",
    "yrf = 2020\n",
    "time0 = str(yr0)+'-01-01T00:00:00.000000000'\n",
    "timef = str(yrf)+'-12-31T00:00:00.000000000'"
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    "time_all = data_pr['time']"
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    "# set up conditional statements \n",
    "cond1_fma = (time_all['time.month'] >= mn0) & (time_all['time.month'] <= mnf) # season of interest\n",
    "cond2_fma = (time_all['time.year'] <= yrf) & (time_all['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_all.where((cond1_fma)& (cond2_fma), drop=True) "
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    "mn0 = 5\n",
    "mnf = 7\n",
    "yr0 = 2001\n",
    "yrf = 2020\n",
    "time0 = str(yr0)+'-01-01T00:00:00.000000000'\n",
    "timef = str(yrf)+'-12-31T00:00:00.000000000'"
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   "source": [
    "cond1_MJJ = (time_all['time.month'] >= mn0) & (time_all['time.month'] <= mnf) # season of interest\n",
    "cond2_MJJ = (time_all['time.year'] <= yrf) & (time_all['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_MJJ = time_all.where((cond1_MJJ)& (cond2_MJJ), drop=True) "
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   "source": [
    "mn0 = 8\n",
    "mnf = 10\n",
    "yr0 = 2001\n",
    "yrf = 2020\n",
    "time0 = str(yr0)+'-01-01T00:00:00.000000000'\n",
    "timef = str(yrf)+'-12-31T00:00:00.000000000'"
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    "cond1_ASO = (time_all['time.month'] >= mn0) & (time_all['time.month'] <= mnf) # season of interest\n",
    "cond2_ASO = (time_all['time.year'] <= yrf) & (time_all['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_ASO = time_all.where((cond1_ASO)& (cond2_ASO), drop=True) "
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   "source": [
    "yr0 = 2001\n",
    "yrf = 2020\n",
    "time0 = str(yr0)+'-01-01T00:00:00.000000000'\n",
    "timef = str(yrf)+'-12-31T00:00:00.000000000'\n",
    "\n",
    "mn0 = 11\n",
    "mnf = 4"
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       "    standard_name:  time\n",
       "    axis:           T</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'>'time'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3745</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-30d37446-8b5b-428d-ab45-b1cc499d3c9e' class='xr-array-in' type='checkbox' checked><label for='section-30d37446-8b5b-428d-ab45-b1cc499d3c9e' 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>2000-11-01 2000-11-02 2000-11-03 ... 2021-04-28 2021-04-29 2021-04-30</span></div><div class='xr-array-data'><pre>array([&#x27;2000-11-01T00:00:00.000000000&#x27;, &#x27;2000-11-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-03T00:00:00.000000000&#x27;, ...,\n",
       "       &#x27;2021-04-28T00:00:00.000000000&#x27;, &#x27;2021-04-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2021-04-30T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></div></li><li class='xr-section-item'><input id='section-e5b988f8-85e0-488a-afbc-b77f9054585d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e5b988f8-85e0-488a-afbc-b77f9054585d' 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'>2000-11-01 ... 2021-04-30</div><input id='attrs-140f9dc5-fb2f-4139-984a-0f547ffd45fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-140f9dc5-fb2f-4139-984a-0f547ffd45fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dec8677-5385-4da1-8592-7b383609ddd7' class='xr-var-data-in' type='checkbox'><label for='data-5dec8677-5385-4da1-8592-7b383609ddd7' 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;2000-11-01T00:00:00.000000000&#x27;, &#x27;2000-11-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-11-03T00:00:00.000000000&#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-5b22ca39-ce27-45a2-b687-cc8d73ea1372' class='xr-section-summary-in' type='checkbox'  ><label for='section-5b22ca39-ce27-45a2-b687-cc8d73ea1372' 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-24342478-8ccc-4b0e-8ae0-cf1ad2130b7e' class='xr-index-data-in' type='checkbox'/><label for='index-24342478-8ccc-4b0e-8ae0-cf1ad2130b7e' 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;2000-11-01&#x27;, &#x27;2000-11-02&#x27;, &#x27;2000-11-03&#x27;, &#x27;2000-11-04&#x27;,\n",
       "               &#x27;2000-11-05&#x27;, &#x27;2000-11-06&#x27;, &#x27;2000-11-07&#x27;, &#x27;2000-11-08&#x27;,\n",
       "               &#x27;2000-11-09&#x27;, &#x27;2000-11-10&#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=3745, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-812cd5eb-9b7a-4c27-a792-4f524a5d4af4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-812cd5eb-9b7a-4c27-a792-4f524a5d4af4' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'time' (time: 3745)>\n",
       "array(['2000-11-01T00:00:00.000000000', '2000-11-02T00:00:00.000000000',\n",
       "       '2000-11-03T00:00:00.000000000', ...,\n",
       "       '2021-04-28T00:00:00.000000000', '2021-04-29T00:00:00.000000000',\n",
       "       '2021-04-30T00:00:00.000000000'], dtype='datetime64[ns]')\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 2000-11-01 2000-11-02 ... 2021-04-30\n",
       "Attributes:\n",
       "    standard_name:  time\n",
       "    axis:           T"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set up conditional statements \n",
    "\n",
    "if mn0 > mnf:\n",
    "    cond1 = (time_all['time.month'] >= mn0) & (time_all['time.year'] <= yrf-1) # season of interest\n",
    "    cond2 = (time_all['time.month'] <= mnf) & (time_all['time.year'] >= yr0) # season of interest\n",
    "    time_NDJ = time_all.where((cond1) | (cond2), drop=True) \n",
    "elif mn0 < mnf:\n",
    "    cond1 = (time_all['time.month'] >= mn0) & (time_all['time.month'] <= mnf) # season of interest\n",
    "    cond2 = (time_all['time.year'] <= yrf) & (time_all['time.year'] >= yr0) # season of interest\n",
    "    time_NDJ = time_all.where((cond1) & (cond2), drop=True) \n",
    "else:\n",
    "    cond1 = (time_all['time.month'] == mn0) # season of interest\n",
    "    cond2 = (time_all['time.year'] <= yrf) & (time_all['time.year'] >= yr0) # season of interest\n",
    "    time_NDJ = time_all.where((cond1) & (cond2), drop=True) \n",
    "\n",
    "time_NDJ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "dc9eb8cb-d569-4c99-ae59-289aea987c6d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "anomalies_fma = data_pr['precipitationCal'].sel(lat=slice(lats_eq,latn_eq),lon=slice(lonw_eq,lone_eq),time=time_fma).var(dim=('time'))#,'lat','lon'))#.transpose()\n",
    "anomalies_MJJ = data_pr['precipitationCal'].sel(lat=slice(lats_eq,latn_eq),lon=slice(lonw_eq,lone_eq),time=time_MJJ).var(dim=('time'))#,'lat','lon'))\n",
    "anomalies_ASO = data_pr['precipitationCal'].sel(lat=slice(lats_eq,latn_eq),lon=slice(lonw_eq,lone_eq),time=time_ASO).var(dim=('time'))#,'lat','lon'))\n",
    "anomalies_NDJ = data_pr['precipitationCal'].sel(lat=slice(lats_eq,latn_eq),lon=slice(lonw_eq,lone_eq),time=time_NDJ).var(dim=('time'))#,'lat','lon'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "bd26f08b-ee57-496d-8fa5-f7e790c0349a",
   "metadata": {},
   "outputs": [],
   "source": [
    "lev_pr2 = np.arange(1, 700, 49.)\n",
    "ls=30"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "afda04fa-4a0d-4844-a5ef-ae36220a3ded",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap = tc.tol_cmap('BuRd').copy()\n",
    "#color_map_b = plt.cm.get_cmap('Blues')\n",
    "npan = 4\n",
    "# all of the sizes are double the size they'll be in the paper \n",
    "fig = plt.figure(figsize=(20, 12))#, tight_layout=True)\n",
    "#fig.suptitle(dataset+' daily precipitation rate (mm/day)', fontsize=18) #, y=0.98\n",
    "for j in range(0,npan,1):\n",
    "    ax1 = fig.add_subplot(2,npan,j+1,projection=ccrs.PlateCarree(central_longitude=180.))\n",
    "    #plt.title('MJO phase = '+str(j+1),  loc='left')\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",
    "    gl.xlocator = mticker.FixedLocator([-180, -170, -160, -150, -140, -130, -120, -110, -100, -90, -80])\n",
    "    gl.ylocator = mticker.FixedLocator([-20, -10, 0, 10, 20])\n",
    "    if j == 0:\n",
    "        plt.title('(a) FMA', loc='left',fontsize=16)\n",
    "        cf = plt.contourf(anomalies_fma['lon'], anomalies_fma['lat'], anomalies_fma, cmap=cmap, transform=ccrs.PlateCarree(),levels=lev_pr2,\n",
    "                     extend ='both',vmin=5)\n",
    "        cmap = cf.get_cmap()\n",
    "        cmap.set_under('w')\n",
    "        cf.set_cmap(cmap)\n",
    "    \n",
    "    if j == 1:\n",
    "        plt.title('(b) MJJ', loc='left',fontsize=16)\n",
    "        cf = plt.contourf(anomalies_MJJ['lon'], anomalies_MJJ['lat'], anomalies_MJJ, cmap=cmap, transform=ccrs.PlateCarree(),levels=lev_pr2,\n",
    "                       extend ='both',vmin=5)\n",
    "        cf.cmap.set_under(\"white\")\n",
    "\n",
    "    if j == 2:\n",
    "        plt.title('(c) ASO', loc='left',fontsize=16)\n",
    "        cf = plt.contourf(anomalies_ASO['lon'], anomalies_ASO['lat'], anomalies_ASO, cmap=cmap, transform=ccrs.PlateCarree(),levels=lev_pr2,\n",
    "                       extend ='both',vmin=5) \n",
    "        cf.cmap.set_under(\"white\")\n",
    "\n",
    "    if j == 3:\n",
    "        plt.title('(d) NDJ', loc='left',fontsize=16)\n",
    "        cf = plt.contourf(anomalies_NDJ['lon'], anomalies_NDJ['lat'], anomalies_NDJ, cmap=cmap, transform=ccrs.PlateCarree(),levels=lev_pr2,\n",
    "                       extend ='both',vmin=5)   \n",
    "        cf.cmap.set_under(\"white\")\n",
    "    \n",
    "fig.subplots_adjust(bottom=0.009)\n",
    "cbar_ax = fig.add_axes([0.2, 0.5, 0.6, 0.025])\n",
    "cbar = fig.colorbar(cf, cax=cbar_ax, orientation=\"horizontal\")\n",
    "cbar.ax.tick_params(labelsize=14)\n",
    "cbar.set_label(r'(mm$~$day$^{-1}$)$^{2}$', fontsize=14)\n",
    "\n",
    "plt.savefig(figfolder+'IMERG_pr_var_20n-20s.pdf', bbox_inches=\"tight\",transparent=False)          "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}