{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from netCDF4 import Dataset\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.colors as mcolors\n",
    "import matplotlib.colors as Normalize\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "import matplotlib.ticker as mticker\n",
    "import matplotlib\n",
    "import xarray as xr\n",
    "import netCDF4\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import glob\n",
    "import dask\n",
    "import os\n",
    "from datetime import datetime\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_in_monthly_data(month, hour_interval, climate_state, var_name):\n",
    "    \"\"\"\n",
    "    Reads in all NetCDF files for a given month and combines them into one dataset.\n",
    "\n",
    "    Parameters:\n",
    "        month (str): month you want data for, e.g., '04'\n",
    "        hour_interval (str): '1hr' or '3hr'\n",
    "        climate_state (str): 'current', 'future', or 'future_urban'\n",
    "        var_name (str): what variable you want to load in, e.g. \"wspd_wdir10\"\n",
    "\n",
    "    Returns:\n",
    "        xarray dataset of full month of data\n",
    "    \"\"\"\n",
    "    \n",
    "    # Determine the file path based on the input parameters\n",
    "    if hour_interval == '3hr':\n",
    "        file_path = f'/pscratch/sd/y/yuwei/Climate_Impact/long-term/data/{climate_state}/{hour_interval}/wrfout_d01_2017-{month}*'\n",
    "    elif hour_interval == '1hr':\n",
    "        file_path = f'/pscratch/sd/y/yuwei/Climate_Impact/long-term/data/{climate_state}/{hour_interval}/wrfout_hourly_d01_2017-{month}*'\n",
    "\n",
    "    # Use glob to find all matching files for the month\n",
    "    file_list = sorted(glob.glob(file_path))\n",
    "\n",
    "    array_list=[]\n",
    "    for file in file_list:\n",
    "        ##-- read file            \n",
    "        ncfile = netCDF4.Dataset(file,'r')\n",
    "        #print(ncfile) \n",
    "        print(file)\n",
    "        data = getvar(ncfile,var_name)\n",
    "        data = data.to_dataset(name=var_name)\n",
    "        #print(data.attrs)\n",
    "        array_list.append(data)\n",
    "        ncfile.close()\n",
    "\n",
    "    print('done')\n",
    "    combined_ds = xr.concat(array_list, dim='Time')\n",
    "\n",
    "    combined_ds[var_name].attrs['projection'] = str(combined_ds[var_name].attrs['projection'])\n",
    "\n",
    "    return combined_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "monlist = ['05'] # months in the simulation\n",
    "sim_list = ['current','future','future_urban']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_winds = xr.open_dataset(f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Current/wind_speed_data_month{monlist[0]}.nc')\n",
    "#c_ref = xr.open_dataset(f'/global/cfs/projectdirs/m2637/dbrooks/2017_seasonal_analysis/radar_data/current/composite_ref_month{monlist[0]}.nc')\n",
    "#c_ctt = xr.open_dataarray(f'/global/cfs/projectdirs/m2637/dbrooks/2017_seasonal_analysis/cloud_stuff/current/cloudtoptemp_month{monlist[0]}.nc')\n",
    "\n",
    "#c_ref = c_ref.sel(Time=c_winds.Time) # Set to same 3hr timesteps\n",
    "\n",
    "f_winds = xr.open_dataset(f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Future/wind_speed_data_month{monlist[0]}.nc')\n",
    "#f_ref = xr.open_dataset(f'/global/cfs/projectdirs/m2637/dbrooks/2017_seasonal_analysis/radar_data/future/composite_ref_month{monlist[0]}.nc')\n",
    "#f_ctt = xr.open_dataarray(f'/global/cfs/projectdirs/m2637/dbrooks/2017_seasonal_analysis/cloud_stuff/future/cloudtoptemp_month{monlist[0]}.nc')\n",
    "\n",
    "#f_ref = f_ref.sel(Time=c_winds.Time) # Set to same 3hr timesteps\n",
    "\n",
    "fu_winds = xr.open_dataset(f'/global/cfs/projectdirs/m2637/dbrooks/2017_seasonal_analysis/wind_data/Future_urban/wind_speed_data_month{monlist[0]}.nc')\n",
    "#fu_ref = xr.open_dataset(f'/global/cfs/projectdirs/m2637/dbrooks/2017_seasonal_analysis/radar_data/future_urban/composite_ref_month{monlist[0]}.nc')\n",
    "#fu_ctt = xr.open_dataarray(f'/global/cfs/projectdirs/m2637/dbrooks/2017_seasonal_analysis/cloud_stuff/future_urban/cloudtoptemp_month{monlist[0]}.nc')\n",
    "\n",
    "#fu_ref = fu_ref.sel(Time=c_winds.Time) # Set to same 3hr timesteps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.ndimage\n",
    "def expand_mask(da, iterations=25):\n",
    "    \"\"\"Expands the regions where the value is 1 using morphological dilation.\"\"\"\n",
    "\n",
    "    return xr.apply_ufunc(\n",
    "        scipy.ndimage.binary_dilation,  # Dilation function\n",
    "        da,  \n",
    "        kwargs={\"iterations\": iterations},  # Number of iterations controls buffer size \n",
    "                                            # iterations * grid resolution = buffer distance \n",
    "        input_core_dims=[[\"south_north\", \"west_east\"]],  \n",
    "        output_core_dims=[[\"south_north\", \"west_east\"]],\n",
    "        vectorize=True,  # Do for each timestep\n",
    "        dask=\"parallelized\"  \n",
    "    ).astype(int)  # Convert back to integer mask\n",
    "\n",
    "c_ref_gf = expand_mask((c_ref['REFL_10CM']>40), iterations=15)\n",
    "c_ctt_gf = expand_mask((c_ctt < 241), iterations=25)\n",
    "\n",
    "f_ref_gf = expand_mask((f_ref['REFL_10CM']>40), iterations=15)\n",
    "f_ctt_gf = expand_mask((f_ctt < 241), iterations=25)\n",
    "\n",
    "fu_ref_gf = expand_mask((fu_ref['REFL_10CM']>40), iterations=15)\n",
    "fu_ctt_gf = expand_mask((fu_ctt < 241), iterations=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Grab areas where both masks overlap\n",
    "c_storms = (c_ref_gf) & (c_ctt_gf)\n",
    "f_storms = (f_ref_gf) & (f_ctt_gf)\n",
    "fu_storms = (fu_ref_gf) & (fu_ctt_gf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#c_storms.to_netcdf(f'/pscratch/sd/d/dbrooks/acc2017_analysis/masks/current/convective_wind_mask_updated_{monlist[0]}.nc')\n",
    "#f_storms.to_netcdf(f'/pscratch/sd/d/dbrooks/acc2017_analysis/masks/future/convective_wind_mask_updated_{monlist[0]}.nc')\n",
    "#fu_storms.to_netcdf(f'/pscratch/sd/d/dbrooks/acc2017_analysis/masks/future_urban/convective_wind_mask_updated_{monlist[0]}.nc')\n",
    "\n",
    "c_storms = xr.open_dataarray(f'/pscratch/sd/d/dbrooks/acc2017_analysis/masks/current/convective_wind_mask_updated_{monlist[0]}.nc')\n",
    "f_storms = xr.open_dataarray(f'/pscratch/sd/d/dbrooks/acc2017_analysis/masks/future/convective_wind_mask_updated_{monlist[0]}.nc')\n",
    "fu_storms = xr.open_dataarray(f'/pscratch/sd/d/dbrooks/acc2017_analysis/masks/future_urban/convective_wind_mask_updated_{monlist[0]}.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\ndef apply_gaussian_filter(dataarray, sigma=5.0):\\n    \"\"\"Applies a 2D Gaussian filter across the `south_north` and `west_east` dimensions.\"\"\"\\n    return xr.apply_ufunc(\\n        scipy.ndimage.gaussian_filter,  # Function to apply\\n        dataarray,                      # DataArray input\\n        kwargs={\"sigma\": sigma, \"mode\": \"reflect\"},  # Pass `sigma` correctly as a keyword argument\\n        input_core_dims=[[\"south_north\", \"west_east\"]],  # Apply along these dimensions\\n        output_core_dims=[[\"south_north\", \"west_east\"]],\\n        vectorize=True,                 # Apply filter to each Time slice independently\\n        dask=\"parallelized\",             # Support large datasets\\n    )\\n\\nc_ref_gf = apply_gaussian_filter((c_ref[\\'REFL_10CM\\']>40).astype(int), sigma=3) > 0.1\\nc_ctt_gf = apply_gaussian_filter((c_ctt < 241).astype(int), sigma=5) > 0.01\\n'"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    "def apply_gaussian_filter(dataarray, sigma=5.0):\n",
    "    \"\"\"Applies a 2D Gaussian filter across the `south_north` and `west_east` dimensions.\"\"\"\n",
    "    return xr.apply_ufunc(\n",
    "        scipy.ndimage.gaussian_filter,  # Function to apply\n",
    "        dataarray,                      # DataArray input\n",
    "        kwargs={\"sigma\": sigma, \"mode\": \"reflect\"},  # Pass `sigma` correctly as a keyword argument\n",
    "        input_core_dims=[[\"south_north\", \"west_east\"]],  # Apply along these dimensions\n",
    "        output_core_dims=[[\"south_north\", \"west_east\"]],\n",
    "        vectorize=True,                 # Apply filter to each Time slice independently\n",
    "        dask=\"parallelized\",             # Support large datasets\n",
    "    )\n",
    "\n",
    "c_ref_gf = apply_gaussian_filter((c_ref['REFL_10CM']>40).astype(int), sigma=3) > 0.1\n",
    "c_ctt_gf = apply_gaussian_filter((c_ctt < 241).astype(int), sigma=5) > 0.01\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_889031/3431126567.py:54: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
      "  ax.legend(loc='upper right')\n",
      "/global/homes/d/dbrooks/.conda/envs/atms-shap/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1631: UserWarning: linewidths is ignored by contourf\n",
      "  result = super().contourf(*args, **kwargs)\n",
      "/global/homes/d/dbrooks/.conda/envs/atms-shap/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1585: UserWarning: The following kwargs were not used by contour: 'label'\n",
      "  result = super().contour(*args, **kwargs)\n",
      "/global/homes/d/dbrooks/.conda/envs/atms-shap/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1585: UserWarning: The following kwargs were not used by contour: 'label'\n",
      "  result = super().contour(*args, **kwargs)\n",
      "/global/homes/d/dbrooks/.conda/envs/atms-shap/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1585: UserWarning: The following kwargs were not used by contour: 'label'\n",
      "  result = super().contour(*args, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import cmweather\n",
    "wind_cmap = cmweather.cm_colorblind.ChaseSpectral\n",
    "#wind_cmap = pyart.graph.cm.LangRainbow12\n",
    "\n",
    "p_clevs=np.arange(10,61,5)\n",
    "#p_clevs=[1,3,5,7,9,12,15,20,25,30,35,40,45,50]\n",
    "#p_clevs=[0.25,1,2,3,4,6,8,10,12,14,16,20,24]\n",
    "p_cmap = mcolors.ListedColormap(wind_cmap(np.linspace(0.1,0.8,len(p_clevs))))\n",
    "p_norm = mcolors.BoundaryNorm(p_clevs, len(p_clevs))\n",
    "#norm = mcolors.BoundaryNorm(clevs, cmap.N)\n",
    "#p_cmap.set_over(wind_cmap(np.linspace(0.9,0.91,1)))\n",
    "p_cmap.set_over('#feb2fa')\n",
    "p_cmap.set_under('white')\n",
    "\n",
    "def plot_contours(dataarray, ctt, ref, ctt_full, conv_mask, wind_ds=c_winds, timestep='2017-04-29T21:00:00'):\n",
    "    \"\"\"Plots contours around all regions where the value is 1 for a given timestep.\"\"\"\n",
    "    \n",
    "    # Extract a single time step\n",
    "    data_slice = dataarray.sel(Time=timestep)\n",
    "    ctt_slice = ctt.sel(Time=timestep)\n",
    "    ref = ref.sel(Time=timestep)\n",
    "    ctt_full = ctt_full.sel(Time=timestep)\n",
    "    conv_mask = conv_mask.sel(Time=timestep)\n",
    "\n",
    "    wind_da = wind_ds['wspd_wdir10'].sel(wspd_wdir='wspd').sel(Time=timestep) > 17\n",
    "    \n",
    "    # Find coordinates if available\n",
    "    if \"XLAT\" in dataarray.coords and \"XLONG\" in dataarray.coords:\n",
    "        lats = dataarray.XLAT\n",
    "        lons = dataarray.XLONG\n",
    "    else:\n",
    "        lats, lons = np.meshgrid(np.arange(data_slice.sizes[\"south_north\"]), \n",
    "                                 np.arange(data_slice.sizes[\"west_east\"]), \n",
    "                                 indexing=\"ij\")\n",
    "\n",
    "    # Create the figure\n",
    "    fig, ax = plt.subplots(figsize=(8, 5), subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "\n",
    "    #ax.set_extent([-100, -86, 30,39])\n",
    "\n",
    "    # Add labels and title\n",
    "    #ax.add_feature(cfeature.STATES, edgecolor=\"grey\", linewidths=0.35, alpha=0.8, facecolor='black', zorder=1)\n",
    "    ax.add_feature(cfeature.STATES, edgecolor=\"grey\", linewidths=0.35, alpha=0.8, zorder=3)\n",
    "    #ax.add_feature(cfeature.OCEAN, facecolor='black', zorder=1)\n",
    "    ax.add_feature(cfeature.COASTLINE, edgecolor=\"grey\", linewidths=0.35, alpha=0.8)\n",
    "    time = pd.to_datetime(data_slice.Time.values)\n",
    "    #ax.set_title(f'Simulated Cloud Top Temperature {time.strftime(\"%Y-%m-%d %Hz\")}', loc='left')\n",
    "    #ax.set_title(f'Simulated Reflectivity {time.strftime(\"%Y-%m-%d %Hz\")}', loc='left')\n",
    "    ax.set_title(f'Winds ≥17 (m s$^{{-1}}$) {time.strftime(\"%Y-%m-%d %Hz\")}', loc='left')\n",
    "    ax.set_title('(Current)', loc='right')\n",
    "    #ax.set_title(f\"Time: {data_slice.Time.values}\")\n",
    "    ax.set_xlabel(\"Longitude\")\n",
    "    ax.set_ylabel(\"Latitude\")\n",
    "    ax.legend(loc='upper right')\n",
    "\n",
    "    #cb = ax.pcolormesh(lons, lats, ds_slice, cmap='Greys')\n",
    "    #cb = ax.pcolormesh(lons, lats, ref, cmap=p_cmap, norm=p_norm) # Reflectivity\n",
    "\n",
    "    #cb = ax.pcolormesh(lons, lats, ctt_full, cmap='Greys',\n",
    "    #                   vmin=200, vmax=300,\n",
    "    #                   zorder=2\n",
    "    #) # CTT\n",
    "\n",
    "    #wind_da = wind_da.where(wind_da == True)\n",
    "    #cb = ax.contourf(lons, lats, wind_da, levels=[0,1], colors='blue')\n",
    "    ax.contourf(lons, lats, wind_da, levels=[0.5,1.5], colors='black', linewidths=3)\n",
    "    \n",
    "    # Plot contours where the value is 1\n",
    "    contour = ax.contour(lons, lats, data_slice, levels=[0], colors=\"blue\", linewidths=1.5, label='>40 dbz Mask')\n",
    "    contour = ax.contour(lons, lats, conv_mask, levels=[0], colors=\"orange\", linewidths=1.5, label='Conv. Core Mask')\n",
    "    contour = ax.contour(lons, lats, ctt_slice, levels=[0], colors=\"red\", linewidths=2, label ='CTT Mask')\n",
    "    #contour = ax.contour(lons, lats, data_slice3, levels=[0], colors=\"blue\", linewidths=1.5, zorder=1)\n",
    "    \n",
    "    #cbar = plt.colorbar(cb, ax=ax, orientation='vertical', fraction=0.05, pad=0.02, shrink=0.9, extend='both')\n",
    "    #cbar.set_label('dbz')\n",
    "\n",
    "    gl = ax.gridlines(draw_labels=True, linewidth=0.6, color='gray', alpha=0.5, linestyle='--', zorder=2)\n",
    "    gl.top_labels = False\n",
    "    gl.right_labels = False\n",
    "    gl.left_labels = True\n",
    "    gl.bottom_labels = True\n",
    "    \n",
    "    \n",
    "    plt.show()\n",
    "\n",
    "#plot_contours(c_ref_gf, c_ctt_gf, c_ref['REFL_10CM'], c_ctt, conv_mask=c_storms)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filter convective winds\n",
    "wind_current_ds = xr.where(c_storms, c_winds['wspd_wdir10'], float(\"nan\"))\n",
    "c_winds_ds = wind_current_ds.to_dataset(name='wspd_wdir10')\n",
    "\n",
    "wind_future_ds = xr.where(f_storms, f_winds['wspd_wdir10'], float(\"nan\"))\n",
    "f_winds_ds = wind_future_ds.to_dataset(name='wspd_wdir10')\n",
    "\n",
    "wind_future_urban_ds = xr.where(fu_storms, fu_winds['wspd_wdir10'], float(\"nan\"))\n",
    "fu_winds_ds = wind_future_urban_ds.to_dataset(name='wspd_wdir10')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/global/homes/d/dbrooks/.conda/envs/atms-shap/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1585: UserWarning: The following kwargs were not used by contour: 'label'\n",
      "  result = super().contour(*args, **kwargs)\n",
      "/global/homes/d/dbrooks/.conda/envs/atms-shap/lib/python3.11/site-packages/cartopy/mpl/geoaxes.py:1585: UserWarning: The following kwargs were not used by contour: 'label'\n",
      "  result = super().contour(*args, **kwargs)\n",
      "/tmp/ipykernel_1114324/370129448.py:43: UserWarning: No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
      "  ax.legend(loc='upper right')\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot_contours(c_ref_gf, c_ctt_gf, c_ctt, wind_ds=c_winds_ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "c_winds_ds.to_netcdf(f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Current/convective_winds_month{monlist[0]}_updated.nc')\n",
    "f_winds_ds.to_netcdf(f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Future/convective_winds_month{monlist[0]}_updated.nc')\n",
    "fu_winds_ds.to_netcdf(f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Future_urban/convective_winds_month{monlist[0]}_updated.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "select_time_window = False\n",
    "select_subregion = False\n",
    "\n",
    "if select_time_window == True:\n",
    "    #start_time = '2017-06-19T06:00:00'\n",
    "    end_time = '2017-06-19T06:00:00'\n",
    "    start_time = '2017-06-01T00:00:00'\n",
    "    #end_time = '2017-06-24T06:00:00'\n",
    "else:\n",
    "    start_time = 0\n",
    "    end_time = 0\n",
    "\n",
    "# Convective Winds\n",
    "filename1 = f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Current/convective_winds_month{monlist[0]}_updated.nc'\n",
    "filename2 = f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Future/convective_winds_month{monlist[0]}_updated.nc'\n",
    "filename3 = f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Future_urban/convective_winds_month{monlist[0]}_updated.nc'\n",
    "\n",
    "# All winds\n",
    "#filename1 = f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Current/wind_speed_data_month{monlist[0]}.nc'\n",
    "#filename2 = f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Future/wind_speed_data_month{monlist[0]}.nc'\n",
    "#filename3 = f'/pscratch/sd/d/dbrooks/acc2017_analysis/wind_data/Future_urban/wind_speed_data_month{monlist[0]}.nc'\n",
    "\n",
    "c_winds_ds = xr.open_dataset(filename1)\n",
    "f_winds_ds = xr.open_dataset(filename2)\n",
    "fu_winds_ds = xr.open_dataset(filename3)\n",
    "\n",
    "# Land mask\n",
    "land_mask = xr.open_dataset('/pscratch/sd/d/dbrooks/acc2017_analysis/masks/landmask.nc')\n",
    "\n",
    "if select_time_window == True:\n",
    "    def subset_time_window(ds, start_time, end_time):\n",
    "        \"\"\"\n",
    "        Subset the dataset based on a specified time window.\n",
    "\n",
    "        Parameters:\n",
    "        ds (xarray.Dataset): The dataset to subset.\n",
    "        start_time (str or datetime): The start time of the window (inclusive).\n",
    "        end_time (str or datetime): The end time of the window (inclusive).\n",
    "\n",
    "        Returns:\n",
    "        xarray.Dataset: The subset of the dataset within the specified time window.\n",
    "        \"\"\"\n",
    "        # Subset the dataset by time\n",
    "        subset_ds = ds.sel(Time=slice(start_time, end_time))\n",
    "        \n",
    "        return subset_ds\n",
    "\n",
    "    c_winds_ds = subset_time_window(c_winds_ds, start_time, end_time)\n",
    "    f_winds_ds = subset_time_window(f_winds_ds, start_time, end_time)\n",
    "    fu_winds_ds = subset_time_window(fu_winds_ds, start_time, end_time) \n",
    "\n",
    "# Select subregion if desired\n",
    "if select_subregion == True:\n",
    "    def select_region(bounding_box, ds):\n",
    "        min_lon,min_lat,max_lon,max_lat = bounding_box[0], bounding_box[1], bounding_box[2], bounding_box[3]\n",
    "\n",
    "        # Access the latitude and longitude arrays (XLAT, XLONG)\n",
    "        lats = ds['XLAT']\n",
    "        lons = ds['XLONG']\n",
    "\n",
    "        # Create a boolean mask for the region of interest\n",
    "        region_mask = (lats >= min_lat) & (lats <= max_lat) & (lons >= min_lon) & (lons <= max_lon)\n",
    "\n",
    "        # Subset the data using the bounding box\n",
    "        ds = ds.where(region_mask, drop=True)\n",
    "\n",
    "        return ds\n",
    "    \n",
    "    bbox = [-97,26,-84,38]\n",
    "    \n",
    "    c_winds_ds = select_region(bbox, c_winds_ds)\n",
    "    f_winds_ds = select_region(bbox, f_winds_ds)\n",
    "    fu_winds_ds = select_region(bbox, fu_winds_ds) \n",
    "\n",
    "    land_mask = select_region(bbox, land_mask) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib.ticker import FuncFormatter\n",
    "from joblib import Parallel, delayed\n",
    "from scipy.stats import mannwhitneyu\n",
    "from tqdm import tqdm\n",
    "\n",
    "# Define wind speed intensity bins and labels\n",
    "WIND_SPEED_BINS = [(2, 10), (10, 17), (17, np.inf)]\n",
    "BIN_LABELS = ['2-10', '10-17', '≥17']\n",
    "\n",
    "#WIND_SPEED_BINS = [(2, 10), (10, 17), (17,25), (25, np.inf)]\n",
    "#BIN_LABELS = ['2-10', '10-17', '17-25', '≥25']\n",
    "\n",
    "# Functions to calculate relative changes\n",
    "def calculate_relative_change(future, current):\n",
    "    return ((future / current) - 1) * 100\n",
    "\n",
    "def calculate_relative_change_urbanization(future, current, future_urban):\n",
    "    f = ((future / current) - 1) * 100\n",
    "    fu = ((future_urban / current) - 1) * 100\n",
    "    #return fu - f\n",
    "    return ((future_urban - future) / future) * 100\n",
    "\n",
    "# Function to calculate frequency (number of occurrences) per intensity bin for wind speeds\n",
    "def calculate_frequency_per_bin(wind_data, bins):\n",
    "    bin_frequencies = []\n",
    "    for lower, upper in bins:\n",
    "        # Count occurrences within each bin across all time steps and grid points\n",
    "        bin_mask = (wind_data >= lower) & (wind_data < upper)\n",
    "        bin_frequency = bin_mask.sum().item()  # Total occurrences in this bin\n",
    "        bin_frequencies.append(bin_frequency)\n",
    "    return bin_frequencies\n",
    "\n",
    "# Normalized frequency\n",
    "def calculate_percentage_per_bin(precip_data, bins):\n",
    "    #print(type(precip_data))\n",
    "    if type(precip_data) == np.ndarray: \n",
    "        total_occurrences = len(precip_data)\n",
    "    else:\n",
    "        total_occurrences = precip_data.count().item() # Total number of grid points across all time steps\n",
    "    bin_percentages = []\n",
    "\n",
    "    for lower, upper in bins:\n",
    "        bin_mask = (precip_data >= lower) & (precip_data < upper)\n",
    "        bin_frequency = bin_mask.sum().item()  # Count occurrences in this bin\n",
    "        bin_percentage = (bin_frequency / total_occurrences) * 100  # Normalize to percentage\n",
    "        bin_percentages.append(bin_percentage)\n",
    "\n",
    "    return bin_percentages\n",
    "\n",
    "def bootstrap_chunk(current, future, future_urban, bins, n_iterations, urban, c_fu, normalize=False):\n",
    "    \"\"\"Run a small batch of bootstrap iterations serially inside one worker.\"\"\"\n",
    "    rel_changes = []\n",
    "    p_vals = []\n",
    "    \n",
    "    # Use consistent sample size across all scenarios to match raw calculation approach\n",
    "    # Sample the same proportion from each dataset to avoid bias\n",
    "    max_sample = 1000000\n",
    "    sample_size_cur = min(max_sample, len(current))\n",
    "    sample_size_fut = min(max_sample, len(future))\n",
    "    sample_size_fut_urb = min(max_sample, len(future_urban))\n",
    "\n",
    "    for _ in range(n_iterations):\n",
    "        # Bootstrap sampling WITH REPLACEMENT to estimate the distribution\n",
    "        cur_sample = np.random.choice(current, size=sample_size_cur, replace=True)\n",
    "        fut_sample = np.random.choice(future, size=sample_size_fut, replace=True)\n",
    "        fut_urb_sample = np.random.choice(future_urban, size=sample_size_fut_urb, replace=True)\n",
    "\n",
    "        # Calculate frequencies per bin\n",
    "        if normalize:\n",
    "            # For normalized mode, calculate percentages instead of raw counts\n",
    "            cur_freq = np.array(calculate_percentage_per_bin(cur_sample, bins), dtype=np.float32)\n",
    "            fut_freq = np.array(calculate_percentage_per_bin(fut_sample, bins), dtype=np.float32)\n",
    "            fut_urb_freq = np.array(calculate_percentage_per_bin(fut_urb_sample, bins), dtype=np.float32)\n",
    "        else:\n",
    "            # For raw count mode, scale frequencies by dataset size to match raw calculation\n",
    "            # This ensures the bootstrap represents the same proportion as the full dataset\n",
    "            cur_freq_counts = np.array(calculate_frequency_per_bin(cur_sample, bins), dtype=np.float32)\n",
    "            fut_freq_counts = np.array(calculate_frequency_per_bin(fut_sample, bins), dtype=np.float32)\n",
    "            fut_urb_freq_counts = np.array(calculate_frequency_per_bin(fut_urb_sample, bins), dtype=np.float32)\n",
    "            \n",
    "            # Scale to full dataset size (extrapolate from sample)\n",
    "            cur_freq = cur_freq_counts * (len(current) / sample_size_cur)\n",
    "            fut_freq = fut_freq_counts * (len(future) / sample_size_fut)\n",
    "            fut_urb_freq = fut_urb_freq_counts * (len(future_urban) / sample_size_fut_urb)\n",
    "\n",
    "        if urban == False:\n",
    "            # For current vs future_urban\n",
    "            if c_fu == True:\n",
    "                with np.errstate(divide='ignore', invalid='ignore'):\n",
    "                    rel = ((fut_urb_freq / cur_freq) - 1) * 100\n",
    "                    rel[cur_freq == 0] = np.nan\n",
    "            # For current vs future\n",
    "            elif c_fu == False:\n",
    "                with np.errstate(divide='ignore', invalid='ignore'):\n",
    "                    rel = ((fut_freq / cur_freq) - 1) * 100\n",
    "                    rel[cur_freq == 0] = np.nan\n",
    "        elif urban == True:\n",
    "            with np.errstate(divide='ignore', invalid='ignore'):\n",
    "                #f = ((fut_freq / cur_freq) - 1) * 100\n",
    "                #fu = ((fut_urb_freq / cur_freq) - 1) * 100\n",
    "                rel = ((fut_urb_freq - fut_freq) / fut_freq) * 100\n",
    "                rel[cur_freq == 0] = np.nan\n",
    "\n",
    "        try:\n",
    "            _, p = mannwhitneyu(cur_sample, fut_sample, alternative='two-sided')\n",
    "        except ValueError:\n",
    "            p = np.nan\n",
    "\n",
    "        rel_changes.append(rel)\n",
    "        p_vals.append(p)\n",
    "\n",
    "    return rel_changes, p_vals\n",
    "\n",
    "def bootstrap_relative_change_chunked(current, future, future_urban, bins, n_iterations=1000, batch_size=10, n_jobs=-1, urban=False, c_fu=False, normalize=False):\n",
    "    n_chunks = n_iterations // batch_size\n",
    "    remaining = n_iterations % batch_size\n",
    "\n",
    "    print(f\"Running {n_iterations} iterations in {n_chunks} chunks of {batch_size} with {n_jobs} workers...\")\n",
    "\n",
    "    # Create task list\n",
    "    tasks = [batch_size] * n_chunks\n",
    "    if remaining > 0:\n",
    "        tasks.append(remaining)\n",
    "\n",
    "    # Run in parallel over batches\n",
    "    results = Parallel(n_jobs=n_jobs)(\n",
    "        delayed(bootstrap_chunk)(current, future, future_urban, bins, n_iter, urban, c_fu, normalize)\n",
    "        for n_iter in tqdm(tasks, desc=\"Bootstrapping (chunked)\")\n",
    "    )\n",
    "\n",
    "    # Flatten results\n",
    "    rel_changes = np.concatenate([np.array(r[0]) for r in results], axis=0)\n",
    "    p_values = np.concatenate([np.array(r[1]) for r in results], axis=0)\n",
    "\n",
    "    rel_changes = np.stack(rel_changes)  # shape: (n_iterations, n_bins)\n",
    "\n",
    "    ci_lower = np.nanpercentile(rel_changes, 2.5, axis=0)\n",
    "    ci_upper = np.nanpercentile(rel_changes, 97.5, axis=0)\n",
    "    p_sig_fraction = np.mean(p_values < 0.05) # fraction of p values below 0.05\n",
    "\n",
    "    return ci_lower.tolist(), ci_upper.tolist(), p_sig_fraction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "============================================================\n",
      "METHOD 1: Raw calculation on xarray DataArrays\n",
      "============================================================\n",
      "Current frequencies:       [5184472, 90343, 1166]\n",
      "Future frequencies:        [5296031, 162764, 2472]\n",
      "Future+Urban frequencies:  [5483637, 167967, 1721]\n",
      "\n",
      "Relative changes (xarray method):\n",
      "  ACC:       [  2.15179096  80.16227046 112.00686106]\n",
      "  ACC+Urb:   [ 5.77040439 85.92143276 47.59862779]\n",
      "  Urban:     [  3.61861343   5.7591623  -64.40823328]\n",
      "\n",
      "============================================================\n",
      "METHOD 2: Flattened numpy arrays (what bootstrap uses)\n",
      "============================================================\n",
      "Array sizes: Current=5,275,981, Future=5,461,267, Future+Urban=5,653,325\n",
      "\n",
      "Current frequencies:       [5184472, 90343, 1166]\n",
      "Future frequencies:        [5296031, 162764, 2472]\n",
      "Future+Urban frequencies:  [5483637, 167967, 1721]\n",
      "\n",
      "Relative changes (numpy array method):\n",
      "  ACC:       [  2.15179096  80.16227046 112.00686106]\n",
      "  ACC+Urb:   [ 5.77040439 85.92143276 47.59862779]\n",
      "  Urban:     [  3.61861343   5.7591623  -64.40823328]\n",
      "\n",
      "============================================================\n",
      "COMPARISON: Difference between methods\n",
      "============================================================\n",
      "Frequency differences (xarray - numpy):\n",
      "  Current:       [0 0 0]\n",
      "  Future:        [0 0 0]\n",
      "  Future+Urban:  [0 0 0]\n",
      "\n",
      "Relative change differences (xarray - numpy):\n",
      "  ACC:       [0. 0. 0.]\n",
      "  ACC+Urb:   [0. 0. 0.]\n",
      "  Urban:     [0. 0. 0.]\n",
      "\n",
      "✓ Methods match! The issue is likely in the bootstrap sampling.\n"
     ]
    }
   ],
   "source": [
    "# DIAGNOSTIC CELL - Run this to investigate bootstrap vs raw calculation mismatch\n",
    "def diagnose_bootstrap_mismatch():\n",
    "    \"\"\"\n",
    "    This function helps diagnose why raw frequencies might fall outside confidence intervals.\n",
    "    It compares the calculation methods used for raw plotting vs bootstrap.\n",
    "    \"\"\"\n",
    "    # Get the data\n",
    "    all_wind_current = c_winds_ds['wspd_wdir10'].sel(wspd_wdir='wspd')\n",
    "    all_wind_future = f_winds_ds['wspd_wdir10'].sel(wspd_wdir='wspd')\n",
    "    all_wind_future_urban = fu_winds_ds['wspd_wdir10'].sel(wspd_wdir='wspd')\n",
    "    \n",
    "    all_wind_current = all_wind_current.where(all_wind_current >= 2)\n",
    "    all_wind_future = all_wind_future.where(all_wind_future >= 2)\n",
    "    all_wind_future_urban = all_wind_future_urban.where(all_wind_future_urban >= 2)\n",
    "    \n",
    "    # Method 1: Raw calculation on xarray (what the plot uses)\n",
    "    print(\"=\"*60)\n",
    "    print(\"METHOD 1: Raw calculation on xarray DataArrays\")\n",
    "    print(\"=\"*60)\n",
    "    freq_current_xr = calculate_frequency_per_bin(all_wind_current, WIND_SPEED_BINS)\n",
    "    freq_future_xr = calculate_frequency_per_bin(all_wind_future, WIND_SPEED_BINS)\n",
    "    freq_future_urban_xr = calculate_frequency_per_bin(all_wind_future_urban, WIND_SPEED_BINS)\n",
    "    \n",
    "    print(f\"Current frequencies:       {freq_current_xr}\")\n",
    "    print(f\"Future frequencies:        {freq_future_xr}\")\n",
    "    print(f\"Future+Urban frequencies:  {freq_future_urban_xr}\")\n",
    "    \n",
    "    rel_change_acc_xr = ((np.array(freq_future_xr) / np.array(freq_current_xr)) - 1) * 100\n",
    "    rel_change_cfu_xr = ((np.array(freq_future_urban_xr) / np.array(freq_current_xr)) - 1) * 100\n",
    "    rel_change_urb_xr = rel_change_cfu_xr - rel_change_acc_xr\n",
    "    \n",
    "    print(f\"\\nRelative changes (xarray method):\")\n",
    "    print(f\"  ACC:       {rel_change_acc_xr}\")\n",
    "    print(f\"  ACC+Urb:   {rel_change_cfu_xr}\")\n",
    "    print(f\"  Urban:     {rel_change_urb_xr}\")\n",
    "    \n",
    "    # Method 2: Flattened arrays (what bootstrap uses)\n",
    "    print(\"\\n\" + \"=\"*60)\n",
    "    print(\"METHOD 2: Flattened numpy arrays (what bootstrap uses)\")\n",
    "    print(\"=\"*60)\n",
    "    c_array = all_wind_current.values.flatten()\n",
    "    f_array = all_wind_future.values.flatten()\n",
    "    fu_array = all_wind_future_urban.values.flatten()\n",
    "    \n",
    "    c_array = c_array[~np.isnan(c_array)]\n",
    "    f_array = f_array[~np.isnan(f_array)]\n",
    "    fu_array = fu_array[~np.isnan(fu_array)]\n",
    "    \n",
    "    print(f\"Array sizes: Current={len(c_array):,}, Future={len(f_array):,}, Future+Urban={len(fu_array):,}\")\n",
    "    \n",
    "    freq_current_np = calculate_frequency_per_bin(c_array, WIND_SPEED_BINS)\n",
    "    freq_future_np = calculate_frequency_per_bin(f_array, WIND_SPEED_BINS)\n",
    "    freq_future_urban_np = calculate_frequency_per_bin(fu_array, WIND_SPEED_BINS)\n",
    "    \n",
    "    print(f\"\\nCurrent frequencies:       {freq_current_np}\")\n",
    "    print(f\"Future frequencies:        {freq_future_np}\")\n",
    "    print(f\"Future+Urban frequencies:  {freq_future_urban_np}\")\n",
    "    \n",
    "    rel_change_acc_np = ((np.array(freq_future_np) / np.array(freq_current_np)) - 1) * 100\n",
    "    rel_change_cfu_np = ((np.array(freq_future_urban_np) / np.array(freq_current_np)) - 1) * 100\n",
    "    rel_change_urb_np = rel_change_cfu_np - rel_change_acc_np\n",
    "    \n",
    "    print(f\"\\nRelative changes (numpy array method):\")\n",
    "    print(f\"  ACC:       {rel_change_acc_np}\")\n",
    "    print(f\"  ACC+Urb:   {rel_change_cfu_np}\")\n",
    "    print(f\"  Urban:     {rel_change_urb_np}\")\n",
    "    \n",
    "    # Compare the two methods\n",
    "    print(\"\\n\" + \"=\"*60)\n",
    "    print(\"COMPARISON: Difference between methods\")\n",
    "    print(\"=\"*60)\n",
    "    print(f\"Frequency differences (xarray - numpy):\")\n",
    "    print(f\"  Current:       {np.array(freq_current_xr) - np.array(freq_current_np)}\")\n",
    "    print(f\"  Future:        {np.array(freq_future_xr) - np.array(freq_future_np)}\")\n",
    "    print(f\"  Future+Urban:  {np.array(freq_future_urban_xr) - np.array(freq_future_urban_np)}\")\n",
    "    \n",
    "    print(f\"\\nRelative change differences (xarray - numpy):\")\n",
    "    print(f\"  ACC:       {rel_change_acc_xr - rel_change_acc_np}\")\n",
    "    print(f\"  ACC+Urb:   {rel_change_cfu_xr - rel_change_cfu_np}\")\n",
    "    print(f\"  Urban:     {rel_change_urb_xr - rel_change_urb_np}\")\n",
    "    \n",
    "    if np.allclose(freq_current_xr, freq_current_np):\n",
    "        print(\"\\n✓ Methods match! The issue is likely in the bootstrap sampling.\")\n",
    "    else:\n",
    "        print(\"\\n✗ Methods DON'T match! The raw plot and bootstrap are using different data.\")\n",
    "        print(\"  This could explain why raw values fall outside confidence intervals.\")\n",
    "\n",
    "# Uncomment to run diagnostics:\n",
    "#diagnose_bootstrap_mismatch()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset sizes - Current: 20,077,914, Future: 19,655,521, Future+Urban: 19,431,083\n",
      "\n",
      "Raw frequencies:\n",
      "  Current: [18902179, 1154002, 21733]\n",
      "  Future: [18504733, 1129997, 20791]\n",
      "  Future+Urban: [18324086, 1087561, 19436]\n",
      "\n",
      "Frequencies from flattened arrays (what bootstrap sees):\n",
      "  Current: [18902179  1154002    21733]\n",
      "  Future: [18504733  1129997    20791]\n",
      "  Future+Urban: [18324086  1087561    19436]\n",
      "\n",
      "Expected relative changes from flattened arrays:\n",
      "  ACC: [-2.10264647 -2.08015237 -4.33442231]\n",
      "  ACC+Urb: [ -3.05834052  -5.75744236 -10.56918051]\n",
      "  Urb: [-0.97622052 -3.7554082  -6.51724304]\n",
      "\n",
      "============================================================\n",
      "BOOTSTRAP MODE: Raw counts (scaled)\n",
      "============================================================\n",
      "Running 100 iterations in 10 chunks of 10 with 4 workers...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Bootstrapping (chunked): 100%|██████████| 10/10 [00:06<00:00,  1.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running 100 iterations in 10 chunks of 10 with 4 workers...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Bootstrapping (chunked): 100%|██████████| 10/10 [00:05<00:00,  1.96it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Running 100 iterations in 10 chunks of 10 with 4 workers...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Bootstrapping (chunked): 100%|██████████| 10/10 [00:05<00:00,  1.97it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Bootstrap Confidence Intervals (95%):\n",
      "  ACC:       Lower=[-2.1775779724121094, -2.878012180328369, -10.35965347290039], Upper=[-2.0548412799835205, -0.8599239587783813, 3.852123260498047]\n",
      "  ACC+Urb:   Lower=[-3.109344005584717, -6.676103115081787, -16.73322868347168], Upper=[-2.9977633953094482, -4.895679473876953, -2.899146556854248]\n",
      "  Urban:     Lower=[-1.0479320287704468, -4.709353923797607, -14.360291481018066], Upper=[-0.9205331206321716, -2.6020050048828125, -0.5076897144317627]\n",
      "ACC+Urb: [ -3.05834052  -5.75744236 -10.56918051]\n",
      "ACC: [-2.10264647 -2.08015237 -4.33442231]\n",
      "Urb: [-0.97622052 -3.7554082  -6.51724304]\n",
      "\n",
      "============================================================\n",
      "VERIFICATION: Do raw values fall within confidence intervals?\n",
      "============================================================\n",
      "Bin 2-10:\n",
      "  Warming:       -2.10% [-2.18, -2.05]\n",
      "  Combined:   -3.06% [-3.11, -3.00]\n",
      "  Urbanization:     -0.98% [-1.05, -0.92]\n",
      "Bin 10-17:\n",
      "  Warming:       -2.08% [-2.88, -0.86]\n",
      "  Combined:   -5.76% [-6.68, -4.90]\n",
      "  Urbanization:     -3.76% [-4.71, -2.60]\n",
      "Bin ≥17:\n",
      "  Warming:       -4.33% [-10.36, 3.85]\n",
      "  Combined:   -10.57% [-16.73, -2.90]\n",
      "  Urbanization:     -6.52% [-14.36, -0.51]\n",
      "Land Only\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def plot_wind_speed_frequency_bar(start_time=None,end_time=None, normalize=True, land_only=False, land_mask=land_mask):\n",
    "\n",
    "    # Step 1: Use all occurrences of wind speed values for each simulation across all time steps and grid cells\n",
    "    all_wind_current = c_winds_ds['wspd_wdir10'].sel(wspd_wdir='wspd')  # Replace with the appropriate variable for wind speed in your dataset\n",
    "    all_wind_future = f_winds_ds['wspd_wdir10'].sel(wspd_wdir='wspd')\n",
    "    all_wind_future_urban = fu_winds_ds['wspd_wdir10'].sel(wspd_wdir='wspd')\n",
    "\n",
    "    all_wind_current =  all_wind_current.where(all_wind_current >= 2)\n",
    "    all_wind_future = all_wind_future.where(all_wind_future >= 2)\n",
    "    all_wind_future_urban = all_wind_future_urban.where(all_wind_future_urban >= 2)\n",
    "\n",
    "    if land_only == True:\n",
    "        #land_mask = xr.open_dataset('/pscratch/sd/d/dbrooks/acc2017_analysis/masks/landmask.nc')\n",
    "        # Access the latitude and longitude arrays (XLAT, XLONG)\n",
    "        '''\n",
    "        lats = land_mask['XLAT']\n",
    "        #lons = land_mask['XLONG']\n",
    "\n",
    "        # Get the shape of the latitude and longitude arrays\n",
    "        n_lat, n_lon = lats.shape\n",
    "        # Exclude 15 grid cells from each side (latitude and longitude)\n",
    "        lat_slice = slice(15, n_lat - 15)\n",
    "        lon_slice = slice(15, n_lon - 15)\n",
    "\n",
    "        # Subset the data using the grid cell indices\n",
    "        land_mask = land_mask.isel(south_north=lat_slice, west_east=lon_slice)\n",
    "        '''\n",
    "\n",
    "\t\t# 1 for land, 0 for water\n",
    "        land_mask = land_mask['LANDMASK'] == 1\n",
    "\n",
    "        all_wind_current = xr.where(land_mask, all_wind_current, float(\"nan\"))\n",
    "        all_wind_future = xr.where(land_mask, all_wind_future, float(\"nan\"))\n",
    "        all_wind_future_urban = xr.where(land_mask, all_wind_future_urban, float(\"nan\"))\n",
    "\n",
    "        domain_type = 'Land Only'\n",
    "        #domain_type = 'Water Only'\n",
    "\n",
    "    else:\n",
    "        domain_type = 'Full Domain'\n",
    "\n",
    "    # Step 2: Calculate frequency for each bin for each simulation\n",
    "    if normalize == True:\n",
    "        freq_current = calculate_percentage_per_bin(all_wind_current, WIND_SPEED_BINS)\n",
    "        freq_future = calculate_percentage_per_bin(all_wind_future, WIND_SPEED_BINS)\n",
    "        freq_future_urban = calculate_percentage_per_bin(all_wind_future_urban, WIND_SPEED_BINS)\n",
    "    else:\n",
    "        freq_current = calculate_frequency_per_bin(all_wind_current, WIND_SPEED_BINS)\n",
    "        freq_future = calculate_frequency_per_bin(all_wind_future, WIND_SPEED_BINS)\n",
    "        freq_future_urban = calculate_frequency_per_bin(all_wind_future_urban, WIND_SPEED_BINS)\n",
    "\n",
    "    #print(freq_current)\n",
    "    #print(freq_future)\n",
    "    #print(freq_future_urban)\n",
    "\n",
    "    # Step 3: Calculate relative change between simulations\n",
    "    relative_change_future = calculate_relative_change(np.array(freq_future), np.array(freq_current))\n",
    "    rel_change_c_vs_fu = calculate_relative_change(np.array(freq_future_urban), np.array(freq_current))\n",
    "    relative_change_urban = calculate_relative_change_urbanization(\n",
    "        np.array(freq_future), np.array(freq_current), np.array(freq_future_urban)\n",
    "    )\n",
    "\n",
    "    #print(relative_change_future)\n",
    "    #print(relative_change_urban)\n",
    "    f_array = all_wind_future.values.flatten()\n",
    "    c_array = all_wind_current.values.flatten()\n",
    "    fu_array = all_wind_future_urban.values.flatten()\n",
    "\n",
    "    f_array = f_array[~np.isnan(f_array)]\n",
    "    c_array = c_array[~np.isnan(c_array)]\n",
    "    fu_array = fu_array[~np.isnan(fu_array)]\n",
    "\n",
    "    print(f\"Dataset sizes - Current: {len(c_array):,}, Future: {len(f_array):,}, Future+Urban: {len(fu_array):,}\")\n",
    "    \n",
    "    # Print raw frequencies for debugging\n",
    "    print(f\"\\nRaw frequencies:\")\n",
    "    print(f\"  Current: {freq_current}\")\n",
    "    print(f\"  Future: {freq_future}\")\n",
    "    print(f\"  Future+Urban: {freq_future_urban}\")\n",
    "    \n",
    "    # Calculate what bootstrap should approximately get with full data\n",
    "    test_cur_freq = np.array(calculate_frequency_per_bin(c_array, WIND_SPEED_BINS))\n",
    "    test_fut_freq = np.array(calculate_frequency_per_bin(f_array, WIND_SPEED_BINS))\n",
    "    test_fu_freq = np.array(calculate_frequency_per_bin(fu_array, WIND_SPEED_BINS))\n",
    "    \n",
    "    print(f\"\\nFrequencies from flattened arrays (what bootstrap sees):\")\n",
    "    print(f\"  Current: {test_cur_freq}\")\n",
    "    print(f\"  Future: {test_fut_freq}\")\n",
    "    print(f\"  Future+Urban: {test_fu_freq}\")\n",
    "    \n",
    "    print(f\"\\nExpected relative changes from flattened arrays:\")\n",
    "    print(f\"  ACC: {((test_fut_freq / test_cur_freq) - 1) * 100}\")\n",
    "    print(f\"  ACC+Urb: {((test_fu_freq / test_cur_freq) - 1) * 100}\")\n",
    "    print(f\"  Urb: {((test_fu_freq - test_fut_freq) / test_fut_freq) * 100}\")\n",
    "    \n",
    "    print(f\"\\n{'='*60}\")\n",
    "    print(f\"BOOTSTRAP MODE: {'Normalized (percentages)' if normalize else 'Raw counts (scaled)'}\")\n",
    "    print(f\"{'='*60}\")\n",
    "\n",
    "    # Run bootstrapping\n",
    "    \n",
    "    acc_ci_lower, acc_ci_upper, acc_sig = bootstrap_relative_change_chunked(\n",
    "        c_array, f_array, fu_array, WIND_SPEED_BINS, n_iterations=100, batch_size=10, n_jobs=4, urban=False, normalize=normalize)\n",
    "    #print(acc_sig)\n",
    "    #print(acc_ci_lower, acc_ci_upper)\n",
    "\n",
    "    accurb_ci_lower, accurb_ci_upper, accurb_urban_sig = bootstrap_relative_change_chunked(\n",
    "        c_array, f_array, fu_array, WIND_SPEED_BINS, n_iterations=100, batch_size=10, n_jobs=4, c_fu=True, normalize=normalize) # ACC+Urban Effect\n",
    "    \n",
    "    urb_ci_lower, urb_ci_upper, urb_sig = bootstrap_relative_change_chunked(\n",
    "        c_array, f_array, fu_array, WIND_SPEED_BINS, n_iterations=100, batch_size=10, n_jobs=4, urban=True, normalize=normalize)\n",
    "    \n",
    "    print(f\"\\nBootstrap Confidence Intervals (95%):\")\n",
    "    print(f\"  ACC:       Lower={acc_ci_lower}, Upper={acc_ci_upper}\")\n",
    "    print(f\"  ACC+Urb:   Lower={accurb_ci_lower}, Upper={accurb_ci_upper}\")\n",
    "    print(f\"  Urban:     Lower={urb_ci_lower}, Upper={urb_ci_upper}\")\n",
    "\n",
    "    # Step 4: Plotting\n",
    "    fig, ax1 = plt.subplots(figsize=(5, 4))\n",
    "    ax2 = ax1.twinx()\n",
    "    ax2.grid(True, axis='y', alpha=0.5, zorder=0)\n",
    "\n",
    "    # Bar width and positions\n",
    "    bar_width = 0.2\n",
    "    x = np.arange(len(WIND_SPEED_BINS))\n",
    "\n",
    "    # Plot bars for each simulation\n",
    "    ax1.bar(x - bar_width, freq_current, width=bar_width, color='black', label='Current',zorder=2)\n",
    "    ax1.bar(x, freq_future, width=bar_width, color='#1E88E5', label='Warming',zorder=2)\n",
    "    ax1.bar(x + bar_width, freq_future_urban, width=bar_width, color='#D81B60', label='Warming+Urban',zorder=2)\n",
    "\n",
    "    # Primary Y-axis (left)\n",
    "    if normalize == True:\n",
    "        ax1.set_xlabel('10m Wind Speed (m s$^{-1}$)')\n",
    "        ax1.set_ylabel('Percentage of Total Occurrences (%)')\n",
    "        ax1.set_yscale('log')\n",
    "        ax1.set_xticks(x)\n",
    "        ax1.set_xticklabels(BIN_LABELS)\n",
    "        #ax1.minorticks_off()\n",
    "        ax1.set_ylim(0, 300)  # Since we're dealing with percentages\n",
    "    else:\n",
    "        ax1.set_xlabel('10m Wind Speed (m s$^{-1}$)')\n",
    "        ax1.set_ylabel('Frequency (# of Occurrences)')\n",
    "        ax1.set_yscale('log')\n",
    "        ax1.set_xticks(x)\n",
    "        ax1.set_xticklabels(BIN_LABELS)\n",
    "        ax1.set_ylim(10, 10e9)\n",
    "\n",
    "    # Secondary Y-axis (right) for relative changes\n",
    "    ax2.plot(x, rel_change_c_vs_fu, color=\"#FFB507\", marker='^', linestyle='-', label='Combined', linewidth=2)\n",
    "    ax2.plot(x, relative_change_future, color='black', marker='o', linestyle='--', label='Warming', linewidth=2)\n",
    "    ax2.plot(x, relative_change_urban, color='black', marker='s', linestyle=':', label='Urban', linewidth=2)\n",
    "    ax2.set_ylabel('Relative change (%)', color='black')\n",
    "\n",
    "    print('ACC+Urb:', rel_change_c_vs_fu)\n",
    "    print('ACC:', relative_change_future)\n",
    "    print('Urb:', relative_change_urban)\n",
    "    \n",
    "    # Verify raw values fall within confidence intervals\n",
    "    print(f\"\\n{'='*60}\")\n",
    "    print(\"VERIFICATION: Do raw values fall within confidence intervals?\")\n",
    "    print(f\"{'='*60}\")\n",
    "    for i, bin_label in enumerate(BIN_LABELS):\n",
    "        acc_in_ci = acc_ci_lower[i] <= relative_change_future[i] <= acc_ci_upper[i]\n",
    "        cfu_in_ci = accurb_ci_lower[i] <= rel_change_c_vs_fu[i] <= accurb_ci_upper[i]\n",
    "        urb_in_ci = urb_ci_lower[i] <= relative_change_urban[i] <= urb_ci_upper[i]\n",
    "        \n",
    "        print(f\"Bin {bin_label}:\")\n",
    "        print(f\"  Warming:       {relative_change_future[i]:.2f}% [{acc_ci_lower[i]:.2f}, {acc_ci_upper[i]:.2f}]\")\n",
    "        print(f\"  Combined:   {rel_change_c_vs_fu[i]:.2f}% [{accurb_ci_lower[i]:.2f}, {accurb_ci_upper[i]:.2f}]\")\n",
    "        print(f\"  Urbanization:     {relative_change_urban[i]:.2f}% [{urb_ci_lower[i]:.2f}, {urb_ci_upper[i]:.2f}]\")\n",
    "\n",
    "    \n",
    "    # Convert to NumPy arrays for fill_between\n",
    "    x = np.array(x)\n",
    "    acc_lower = np.array(acc_ci_lower)\n",
    "    acc_upper = np.array(acc_ci_upper)\n",
    "    urb_lower = np.array(urb_ci_lower)\n",
    "    urb_upper = np.array(urb_ci_upper)\n",
    "    accurb_lower = np.array(accurb_ci_lower)\n",
    "    accurb_upper = np.array(accurb_ci_upper)\n",
    "\n",
    "    # Fill between CI bounds\n",
    "    ax2.fill_between(x, accurb_lower, accurb_upper, color=\"#FFB507\", alpha=0.3, zorder=1)\n",
    "    ax2.fill_between(x, acc_lower, acc_upper, color='blue', alpha=0.2, zorder=1)\n",
    "    ax2.fill_between(x, urb_lower, urb_upper, color='green', alpha=0.2, zorder=1)\n",
    "\n",
    "    # Dynamically set y-axis limits based on data and confidence intervals\n",
    "    all_values = np.concatenate([\n",
    "        rel_change_c_vs_fu, relative_change_future, relative_change_urban,\n",
    "        acc_lower, acc_upper, urb_lower, urb_upper, accurb_lower, accurb_upper\n",
    "    ])\n",
    "    # Filter out NaN values\n",
    "    all_values = all_values[~np.isnan(all_values)]\n",
    "    \n",
    "    if len(all_values) > 0:\n",
    "        y_min = np.min(all_values)\n",
    "        y_max = np.max(all_values)\n",
    "        # Add 15% padding on each side\n",
    "        y_range = y_max - y_min\n",
    "        padding = max(y_range * 0.15, 5)  # At least 5% padding\n",
    "        ax2.set_ylim(y_min - padding, y_max + padding)\n",
    "    else:\n",
    "        # Fallback to default if no valid data\n",
    "        ax2.set_ylim(-20, 110)\n",
    "\n",
    "\n",
    "    # Add legend for secondary y-axis lines\n",
    "    #ax2.legend(loc='upper right', fontsize=8)\n",
    "    #ax1.legend(loc='upper left', fontsize=8)\n",
    "\n",
    "    if monlist[0] == '04':\n",
    "        month = 'April'\n",
    "    elif monlist[0] == '05':\n",
    "        month = 'May'\n",
    "    elif monlist[0] == '06':\n",
    "        month = 'June'\n",
    "\n",
    "    # Title and layout adjustments\n",
    "    if select_time_window == True:\n",
    "        start_time = datetime.strptime(start_time, '%Y-%m-%dT%H:%M:%S')\n",
    "        end_time = datetime.strptime(end_time, '%Y-%m-%dT%H:%M:%S')\n",
    "        ax1.set_title(f'{start_time.strftime(\"%Y-%m-%d %Hz\")} to {end_time.strftime(\"%Y-%m-%d %Hz\")}', fontsize=12)\n",
    "    else:\n",
    "        #ax1.set_title(f'Frequency of 10m Wind Speed Intensities in {month}\\n ({domain_type})')\n",
    "        ax1.set_title(f'{month} ({domain_type})')\n",
    "    fig.tight_layout()\n",
    "    \n",
    "    print(domain_type)\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "plot_wind_speed_frequency_bar(start_time=start_time,end_time=end_time, normalize=False, land_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "def plot_max_wind_contours(ds1,ds2,ds3):\n",
    "    # Create the plot\n",
    "    fig, ax_wind = plt.subplots(\n",
    "        figsize=(7, 7),\n",
    "        subplot_kw={\"projection\": ccrs.PlateCarree()}\n",
    "    )\n",
    "    #wind_speed_current = ds['wspd_wdir10'].sel(wspd_wdir='wspd') \n",
    "    wind_speed_current1 = ds1['wspd_wdir10'].sel(wspd_wdir='wspd') \n",
    "    max_wind_current1 = wind_speed_current1.max(dim='Time')  # Maximum wind speed over time for each grid point\n",
    "\n",
    "    wind_speed_current2 = ds2['wspd_wdir10'].sel(wspd_wdir='wspd') \n",
    "    max_wind_current2 = wind_speed_current2.max(dim='Time')  # Maximum wind speed over time for each grid point\n",
    "\n",
    "    wind_speed_current3 = ds3['wspd_wdir10'].sel(wspd_wdir='wspd')\n",
    "    max_wind_current3 = wind_speed_current3.max(dim='Time')  # Maximum wind speed over time for each grid point\n",
    "\n",
    "    # Smooth if necessary\n",
    "    def downscsale_precip(ds):\n",
    "        # Assuming `ds` is your xarray dataset\n",
    "        ds_downscaled = ds.coarsen(\n",
    "            south_north=4,  # Downsampling factor of 4 for south_north (to get resolution of 8km)\n",
    "            west_east=4,     # Downsampling factor of 4 for west_east\n",
    "            boundary=\"trim\"\n",
    "        ).mean()  \n",
    "\n",
    "        return ds_downscaled\n",
    "    \n",
    "    max_wind_current1 = downscsale_precip(max_wind_current1)\n",
    "    max_wind_current2 = downscsale_precip(max_wind_current2)\n",
    "    max_wind_current3 = downscsale_precip(max_wind_current3)\n",
    "\n",
    "    lats = ds1['XLAT']\n",
    "    lons = ds1['XLONG']\n",
    "\n",
    "    lats = downscsale_precip(lats)\n",
    "    lons = downscsale_precip(lons)\n",
    "\n",
    "\n",
    "    #ax_wind.set_extent([-96-1,-85+1,lats.min()-1,37+1])\n",
    "    ax_wind.set_extent([lons.min(),lons.max(),lats.min(),lats.max()])\n",
    "\n",
    "    max_precip_threshold1 = (max_wind_current1 >= 17) \n",
    "    max_precip_threshold2 = (max_wind_current2 >= 17)\n",
    "    max_precip_threshold3 = (max_wind_current3 >= 17)\n",
    "\n",
    "    \n",
    "    #ax_wind = axs[0]\n",
    "    \n",
    "    ax_wind.contour(lons, lats, max_precip_threshold1, colors='black', linewidths=1.5, transform=ccrs.PlateCarree(), zorder=2)\n",
    "    ax_wind.contour(lons, lats, max_precip_threshold2, colors='#1E88E5', linewidths=1.5, transform=ccrs.PlateCarree(), zorder=2)\n",
    "    ax_wind.contour(lons, lats, max_precip_threshold3, colors='#D81B60', linewidths=1.5, transform=ccrs.PlateCarree(), zorder=2)\n",
    "   \n",
    "    plt.plot(0,0,color='black',label='Current')\n",
    "    plt.plot(0,0,color='#1E88E5',label='Warming')\n",
    "    plt.plot(0,0,color='#D81B60',label='Warming+Urban')\n",
    "    \n",
    "    # Add features and title\n",
    "    ax_wind.add_feature(cfeature.STATES, edgecolor=\"gray\", linewidths=0.65, alpha=0.7)\n",
    "    ax_wind.add_feature(cfeature.COASTLINE, edgecolor=\"gray\", linewidths=0.65, alpha=0.7)\n",
    "    #ax_wind.add_feature(USCOUNTIES, linewidth=0.35, alpha=0.5)\n",
    "    gl = ax_wind.gridlines(draw_labels=True, linewidth=0.6, color='gray', alpha=0.5, linestyle='--', zorder=2)\n",
    "    gl.top_labels = False\n",
    "    gl.right_labels = False\n",
    "    gl.left_labels = True\n",
    "    gl.bottom_labels = True\n",
    "\n",
    "    start_time = ds1.Time.min().dt.strftime(\"%m-%d %Hz\").values\n",
    "    end_time = ds1.Time.max().dt.strftime(\"%m-%d %Hz\").values\n",
    "\n",
    "    ax_wind.set_title(f'Contours Where Max 10m Wind Speed ≥17 m $s^{{-1}}$ \\n({start_time} to {end_time})', loc='left', fontsize=12)\n",
    "    #ax_wind.set_title(f'(Pre-Aero)', loc='right', fontsize=12)\n",
    "    \n",
    "    ax_wind.legend(loc='upper right')\n",
    "    \n",
    "    # Colorbar for the left plot\n",
    "    #cbar = plt.colorbar(pb, ax=ax_wind, orientation='vertical', fraction=0.05, pad=0.03, shrink=0.5, extend='both')\n",
    "    #cbar.set_label('m $s^{-1}$')\n",
    "\n",
    "    plt.show()\n",
    "\n",
    "plot_max_wind_contours(ds1=c_winds_ds,ds2=f_winds_ds,ds3=fu_winds_ds)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x400 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_spatial_frequency_differences(threshold, start_time=start_time, end_time=end_time):\n",
    "    \"\"\"\n",
    "    Plots the total frequency of wind speeds above a threshold for the current simulation,\n",
    "    and the differences in frequency between the future and current, and future-urban and future simulations.\n",
    "    \n",
    "    Parameters:\n",
    "        threshold (float): Wind speed threshold (m/s) for counting frequency.\n",
    "    \"\"\"\n",
    "    \n",
    "    # Define datasets\n",
    "    wind_datasets = {\n",
    "        'Current': c_winds_ds,\n",
    "        'Future': f_winds_ds,\n",
    "        'Future+Urban': fu_winds_ds\n",
    "    }\n",
    "    ############ Freq colormap ###############\n",
    "    clevs2=[1,2,3,4,5,6]\n",
    "    #clevs2 = [3,5,7,10,15,20]\n",
    "    import colormaps \n",
    "    diff_cmap2 = colormaps.thermal\n",
    "    cmap2 = diff_cmap2[:200]\n",
    "    #cmap = mcolors.ListedColormap([diff_cmap1(i / (len(clevs) - 1)) for i in range(len(clevs) - 1)])\n",
    "\n",
    "    # Extract individual colors from the base colormap\n",
    "    colors = [diff_cmap2(i / (len(clevs2) - 1)) for i in range(len(clevs2))]\n",
    "\n",
    "    cmap2.set_over(colors[-1])   # Upper bound color\n",
    "    cmap2.set_under('white')  # Lower bound color\n",
    "\n",
    "    # Create a normalization for the contour levels\n",
    "    norm2 = mcolors.BoundaryNorm(clevs2, cmap2.N)\n",
    "\n",
    "    ############### Diverging colormap ################\n",
    "    clevs = [-5,-3,-2,-1,0,1,2,3,5] # wind levels\n",
    "    tick_labels = [-5,-3,-2,-1,0,1,2,3,5] # wind levels\n",
    "    # Create a ListedColormap from the custom RGBA values\n",
    "    #cmap = create_custom_diverging_colormap(levels=len(clevs))\n",
    "\n",
    "    import colormaps\n",
    "    diff_cmap1 = colormaps.rdbu_11_r\n",
    "    cmap = diff_cmap1[2:10]\n",
    "    #cmap = mcolors.ListedColormap([diff_cmap1(i / (len(clevs) - 1)) for i in range(len(clevs) - 1)])\n",
    "\n",
    "    # Extract individual colors from the base colormap\n",
    "    colors = [diff_cmap1(i / (len(clevs) - 1)) for i in range(len(clevs))]\n",
    "\n",
    "    cmap.set_over(colors[-1])   # Upper bound color\n",
    "    cmap.set_under(colors[0])  # Lower bound color\n",
    "\n",
    "    # Create a normalization for the contour levels\n",
    "    norm = mcolors.BoundaryNorm(clevs, cmap.N)\n",
    "    norm3 = mcolors.BoundaryNorm(clevs, cmap.N)\n",
    "\n",
    "    #####################################################\n",
    "    # Set up the figure and 1x3 subplots\n",
    "    fig, axs = plt.subplots(1, 3, figsize=(12, 4), subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "\n",
    "    # Set month name based on the list provided\n",
    "    if monlist[0] == '04':\n",
    "        month = 'April'\n",
    "    elif monlist[0] == '05':\n",
    "        month = 'May'\n",
    "    elif monlist[0] == '06':\n",
    "        month = 'June'\n",
    "\n",
    "    ##### Left Plot: Wind Speed Frequency for Current Simulation #####\n",
    "    wind_speed_current = wind_datasets['Current']['wspd_wdir10'].sel(wspd_wdir='wspd') \n",
    "    \n",
    "    # Calculate frequency of wind speeds above the threshold\n",
    "    freq_current = (wind_speed_current >= threshold).sum(dim='Time')\n",
    "    #freq_current = downscsale_wind(freq_current)\n",
    "    freq_current2 = freq_current.where(freq_current != 0, drop=False)\n",
    "\n",
    "    lats = freq_current['XLAT']\n",
    "    lons = freq_current['XLONG']\n",
    "    \n",
    "    ax_wind = axs[0]\n",
    "    #ax_wind.set_extent([-96-1,-85+1,lats.min()-1,37+1])\n",
    "    ax_wind.set_extent([lons.min(),lons.max(),lats.min(),lats.max()])\n",
    "    #pb = ax_wind.pcolormesh(lons, lats, freq_current, cmap=cmap2,norm=norm2, transform=crs.PlateCarree(), zorder=1)\n",
    "    pb = ax_wind.contourf(lons, lats, freq_current2, levels=clevs2, cmap=cmap2,norm=norm2,transform=ccrs.PlateCarree(), zorder=1, extend='both')\n",
    "    #ax_wind.contour(lons, lats, freq_current2, levels=clevs2, cmap=cmap2,norm=norm2,transform=crs.PlateCarree(), zorder=2, extend='both')\n",
    "    #pb = ax_wind.scatter(lons, lats, c=freq_current2, s=5, cmap=cmap2,norm=norm2, transform=crs.PlateCarree())\n",
    "    \n",
    "    # Add features and title\n",
    "    ax_wind.add_feature(cfeature.STATES, edgecolor=\"black\", linewidths=0.35, alpha=0.35)\n",
    "    ax_wind.add_feature(cfeature.COASTLINE, edgecolor=\"black\", linewidths=0.35, alpha=0.35)\n",
    "    gl = ax_wind.gridlines(draw_labels=True, linewidth=0.35, color='gray', alpha=0.5, linestyle='--', zorder=1)\n",
    "    gl.top_labels = False\n",
    "    gl.right_labels = False\n",
    "    gl.left_labels = True\n",
    "    gl.bottom_labels = True\n",
    "    ax_wind.set_title(fr'Occurrences of Wind Speeds', loc='left', fontsize=10)\n",
    "    ax_wind.set_title(f'(Current)', loc='right', fontsize=10)\n",
    "    \n",
    "    # Colorbar for the left plot\n",
    "    cbar = plt.colorbar(pb, ax=ax_wind, orientation='vertical', fraction=0.05, pad=0.01, shrink=0.9, extend='both')\n",
    "    #cbar.set_label('Count', fontsize=8)\n",
    "    #cbar.set_ticklabels(tick_labels2)\n",
    "\n",
    "    ##### Middle Plot: Future - Current Wind Frequency Difference #####\n",
    "    wind_speed_future = wind_datasets['Future']['wspd_wdir10'].sel(wspd_wdir='wspd') \n",
    "    freq_future = (wind_speed_future >= threshold).sum(dim='Time')\n",
    "    #freq_future = downscsale_wind(freq_future)\n",
    "    freq_diff_future_current = freq_future - freq_current\n",
    "    # **Filter out points where values == 0**\n",
    "    freq_diff_future_current2 = freq_diff_future_current.where(freq_diff_future_current != 0 , drop=False)\n",
    "\n",
    "    # Define sizes (start from a base size and triple each time)\n",
    "    #sizes = 4 * (2 ** (np.abs(freq_diff_future_current.values)))\n",
    "    \n",
    "    ax_wind = axs[1]\n",
    "    #ax_wind.set_extent([-96-1,-85+1,lats.min()-1,37+1])\n",
    "    ax_wind.set_extent([lons.min(),lons.max(),lats.min(),lats.max()])\n",
    "    #pb = ax_wind.pcolormesh(lons, lats, freq_diff_future_current, cmap=cmap,norm=norm,transform=crs.PlateCarree(), zorder=1)\n",
    "    pb = ax_wind.contourf(lons, lats, freq_diff_future_current2, levels=clevs, cmap=cmap,norm=norm,transform=ccrs.PlateCarree(), zorder=1, extend='both')\n",
    "    #ax_wind.contour(lons, lats, freq_diff_future_current2, levels=clevs, cmap=cmap,norm=norm,transform=crs.PlateCarree(), zorder=1, extend='both')\n",
    "    #pb = ax_wind.scatter(lons, lats, c=freq_diff_future_current2, s=5, cmap=cmap,norm=norm, transform=crs.PlateCarree(),zorder=2)\n",
    "    \n",
    "    # Add features and title\n",
    "    ax_wind.add_feature(cfeature.STATES, edgecolor=\"black\", linewidths=0.35, alpha=0.35)\n",
    "    ax_wind.add_feature(cfeature.COASTLINE, edgecolor=\"black\", linewidths=0.35, alpha=0.35)\n",
    "    gl = ax_wind.gridlines(draw_labels=True, linewidth=0.35, color='gray', alpha=0.5, linestyle='--', zorder=1)\n",
    "    gl.top_labels = False\n",
    "    gl.right_labels = False\n",
    "    gl.left_labels = False\n",
    "    gl.bottom_labels = True\n",
    "    ax_wind.set_title(r'$\\Delta$ Frequency', loc='left', fontsize=10)\n",
    "    ax_wind.set_title(f'(ACC Effect)', loc='right', fontsize=10)\n",
    "    \n",
    "    # Colorbar for the middle plot\n",
    "    cbar = plt.colorbar(pb, ax=ax_wind, orientation='vertical', fraction=0.05, pad=0.01, shrink=0.9, extend='both')\n",
    "    #cbar.set_label('Count Difference', fontsize=8)\n",
    "    cbar.set_ticklabels(tick_labels)\n",
    "\n",
    "    ##### Right Plot: Future-Urban - Future Wind Frequency Difference #####\n",
    "    wind_speed_future_urban = wind_datasets['Future+Urban']['wspd_wdir10'].sel(wspd_wdir='wspd') \n",
    "    freq_future_urban = (wind_speed_future_urban >= threshold).sum(dim='Time')\n",
    "    #freq_future_urban = downscsale_wind(freq_future_urban)\n",
    "    freq_diff_future_urban_current = freq_future_urban - freq_current\n",
    "    freq_diff_future_urban_future = freq_diff_future_urban_current - freq_diff_future_current\n",
    "    freq_diff_future_urban_future2 = freq_diff_future_urban_future.where(freq_diff_future_urban_future != 0, drop=False)\n",
    "    #print(freq_diff_future_urban_future.min())\n",
    "    \n",
    "    ax_wind = axs[2]\n",
    "    #ax_wind.set_extent([-96-1,-85+1,lats.min()-1,37+1])\n",
    "    ax_wind.set_extent([lons.min(),lons.max(),lats.min(),lats.max()])\n",
    "    #pb = ax_wind.pcolormesh(lons, lats, freq_diff_future_urban_future2, cmap=cmap,norm=norm, transform=crs.PlateCarree(), zorder=1)\n",
    "    pb = ax_wind.contourf(lons, lats, freq_diff_future_urban_future2, levels=clevs, cmap=cmap,norm=norm3,transform=ccrs.PlateCarree(), zorder=1, extend='both')\n",
    "    #ax_wind.contour(lons, lats, freq_diff_future_urban_future2, levels=clevs, cmap=cmap,norm=norm3,transform=crs.PlateCarree(), zorder=2, extend='both')\n",
    "    #pb = ax_wind.scatter(lons, lats, c=freq_diff_future_urban_future2, s=5, cmap=cmap,norm=norm, transform=crs.PlateCarree(),zorder=2)\n",
    "    \n",
    "    # Add features and title\n",
    "    ax_wind.add_feature(cfeature.STATES, edgecolor=\"black\", linewidths=0.35, alpha=0.35)\n",
    "    ax_wind.add_feature(cfeature.COASTLINE, edgecolor=\"black\", linewidths=0.35, alpha=0.35)\n",
    "    gl = ax_wind.gridlines(draw_labels=True, linewidth=0.35, color='gray', alpha=0.5, linestyle='--', zorder=1)\n",
    "    gl.top_labels = False\n",
    "    gl.right_labels = False\n",
    "    gl.left_labels = False\n",
    "    gl.bottom_labels = True\n",
    "    ax_wind.set_title(r'$\\Delta$ Frequency', loc='left', fontsize=10)\n",
    "    ax_wind.set_title(f'(Urbanization Effect)', loc='right', fontsize=10)\n",
    "    \n",
    "    # Colorbar for the right plot\n",
    "    cbar = plt.colorbar(pb, ax=ax_wind, orientation='vertical', fraction=0.09, pad=0.01, shrink=0.9, extend='both')\n",
    "    #cbar.set_label('Count Difference', fontsize=8)\n",
    "    cbar.set_ticklabels(tick_labels)\n",
    "\n",
    "    # Set a main title for the figure\n",
    "    if select_time_window == True:\n",
    "        start_time = datetime.strptime(start_time, '%Y-%m-%dT%H:%M:%S')\n",
    "        end_time = datetime.strptime(end_time, '%Y-%m-%dT%H:%M:%S')\n",
    "        fig.suptitle(f'Wind Speed Frequency (≥{threshold} m s$^{{-1}}$) and Differences from {start_time.strftime(\"%Y-%m-%d %Hz\")} to {end_time.strftime(\"%Y-%m-%d %Hz\")}',\n",
    "                      fontsize=12)\n",
    "    else:\n",
    "        fig.suptitle(fr'Valid Storm Frequency and Differences Between Simulations in {month}', fontsize=12)\n",
    "\n",
    "    # Adjust layout for better spacing\n",
    "    plt.tight_layout(rect=[0, 0, 1, 0.99])\n",
    "\n",
    "    # Show the plot\n",
    "    plt.show()\n",
    "\n",
    "plot_spatial_frequency_differences(threshold=17)"
   ]
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