{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8ab323e7",
   "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",
    "import wrf\n",
    "from wrf import (getvar, vinterp, interplevel, to_np, latlon_coords, get_cartopy,\n",
    "                 cartopy_xlim, cartopy_ylim)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b46021ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "monlist = ['04'] # months in the simulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bd3c6113",
   "metadata": {},
   "outputs": [],
   "source": [
    "c_500mb = xr.open_dataset(f'/pscratch/sd/d/dbrooks/acc2017_analysis/pressure_data/current/500mb/geopotential_height_500mb_month{monlist[0]}.nc')\n",
    "f_500mb = xr.open_dataset(f'/pscratch/sd/d/dbrooks/acc2017_analysis/pressure_data/future/500mb/geopotential_height_500mb_month{monlist[0]}.nc')\n",
    "fu_500mb = xr.open_dataset(f'/pscratch/sd/d/dbrooks/acc2017_analysis/pressure_data/future_urban/500mb/geopotential_height_500mb_month{monlist[0]}.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ce063f61",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove boundaries\n",
    "def remove_lateral_boundaries(current_ds,future_ds,future_urban_ds):\n",
    "    # Access the latitude and longitude arrays (XLAT, XLONG)\n",
    "    lats = current_ds['XLAT']\n",
    "    lons = current_ds['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",
    "    current_ds = current_ds.isel(south_north=lat_slice, west_east=lon_slice)\n",
    "    future_ds = future_ds.isel(south_north=lat_slice, west_east=lon_slice)\n",
    "    future_urban_ds = future_urban_ds.isel(south_north=lat_slice, west_east=lon_slice)\n",
    "\n",
    "    return current_ds,future_ds,future_urban_ds\n",
    "\n",
    "c_500mb,f_500mb,fu_500mb = remove_lateral_boundaries(c_500mb,f_500mb,fu_500mb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e892dc9f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n",
       "<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\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-obj-name,\n",
       ".xr-group-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-group-name::before {\n",
       "  content: \"📁\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-name,\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "}\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-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 20px auto;\n",
       "  width: 100%;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 20px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\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",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\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",
       "  border-color: var(--xr-background-color-row-even);\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",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\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-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\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",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 2GB\n",
       "Dimensions:  (Time: 240, south_north: 1050, west_east: 1180)\n",
       "Coordinates:\n",
       "  * Time     (Time) datetime64[ns] 2kB 2017-04-01 ... 2017-04-30T21:00:00\n",
       "    XLONG    (south_north, west_east) float32 5MB ...\n",
       "    XLAT     (south_north, west_east) float32 5MB ...\n",
       "    XTIME    (Time) float32 960B ...\n",
       "    level    float64 8B ...\n",
       "Dimensions without coordinates: south_north, west_east\n",
       "Data variables:\n",
       "    z_500    (Time, south_north, west_east) float64 2GB ...</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-33ccb238-6612-4a35-9cd7-efa4baf4b5e0' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-33ccb238-6612-4a35-9cd7-efa4baf4b5e0' 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>: 240</li><li><span>south_north</span>: 1050</li><li><span>west_east</span>: 1180</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-735c9d8d-136e-426a-ba2f-297b8cfaf17d' class='xr-section-summary-in' type='checkbox'  checked><label for='section-735c9d8d-136e-426a-ba2f-297b8cfaf17d' class='xr-section-summary' >Coordinates: <span>(5)</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'>2017-04-01 ... 2017-04-30T21:00:00</div><input id='attrs-2be49929-1c6b-403b-9dbd-d8280831d4b1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2be49929-1c6b-403b-9dbd-d8280831d4b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11d7d960-d4ec-4931-abdd-8c21d66235e3' class='xr-var-data-in' type='checkbox'><label for='data-11d7d960-d4ec-4931-abdd-8c21d66235e3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-04-01T00:00:00.000000000&#x27;, &#x27;2017-04-01T03:00:00.000000000&#x27;,\n",
       "       &#x27;2017-04-01T06:00:00.000000000&#x27;, ..., &#x27;2017-04-30T15:00:00.000000000&#x27;,\n",
       "       &#x27;2017-04-30T18:00:00.000000000&#x27;, &#x27;2017-04-30T21:00:00.000000000&#x27;],\n",
       "      shape=(240,), dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XLONG</span></div><div class='xr-var-dims'>(south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4011720c-8c58-424c-8084-868c4cffa89e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4011720c-8c58-424c-8084-868c4cffa89e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-778f00cb-1ed0-477a-ac52-6359bddd572d' class='xr-var-data-in' type='checkbox'><label for='data-778f00cb-1ed0-477a-ac52-6359bddd572d' 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>[1239000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XLAT</span></div><div class='xr-var-dims'>(south_north, west_east)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-180f1679-3a05-4edb-a17d-19e4b5fed2ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-180f1679-3a05-4edb-a17d-19e4b5fed2ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6defcc4-b41a-4afa-b08e-08ba5929407c' class='xr-var-data-in' type='checkbox'><label for='data-c6defcc4-b41a-4afa-b08e-08ba5929407c' 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>[1239000 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>XTIME</span></div><div class='xr-var-dims'>(Time)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4aae6bd5-a7c0-4bf6-8613-83d4d2dc64c0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4aae6bd5-a7c0-4bf6-8613-83d4d2dc64c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ee4e127-025a-4f6c-b255-0496e3359aa7' class='xr-var-data-in' type='checkbox'><label for='data-6ee4e127-025a-4f6c-b255-0496e3359aa7' 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>[240 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2f60f877-5c1b-41c0-b136-5a16f193ced3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-2f60f877-5c1b-41c0-b136-5a16f193ced3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c8b1424-b971-40d9-8eae-71dd55a7ddaa' class='xr-var-data-in' type='checkbox'><label for='data-9c8b1424-b971-40d9-8eae-71dd55a7ddaa' 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>[1 values with dtype=float64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b8b17305-5090-4a06-9127-a050d68d402b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b8b17305-5090-4a06-9127-a050d68d402b' 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>z_500</span></div><div class='xr-var-dims'>(Time, south_north, west_east)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-13df0033-beca-494b-9e04-6fe67f56af6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-13df0033-beca-494b-9e04-6fe67f56af6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f498334d-30ce-4474-87ff-d2f1716e0c57' class='xr-var-data-in' type='checkbox'><label for='data-f498334d-30ce-4474-87ff-d2f1716e0c57' 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>FieldType :</span></dt><dd>104</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>stagger :</span></dt><dd></dd><dt><span>projection :</span></dt><dd>LambertConformal(stand_lon=-97.5, moad_cen_lat=36.70001220703125, truelat1=32.5, truelat2=42.5, pole_lat=90.0, pole_lon=0.0)</dd><dt><span>vert_units :</span></dt><dd>hPa</dd><dt><span>description :</span></dt><dd>Geopotential height at 500 hPa</dd></dl></div><div class='xr-var-data'><pre>[297360000 values with dtype=float64]</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 2GB\n",
       "Dimensions:  (Time: 240, south_north: 1050, west_east: 1180)\n",
       "Coordinates:\n",
       "  * Time     (Time) datetime64[ns] 2kB 2017-04-01 ... 2017-04-30T21:00:00\n",
       "    XLONG    (south_north, west_east) float32 5MB ...\n",
       "    XLAT     (south_north, west_east) float32 5MB ...\n",
       "    XTIME    (Time) float32 960B ...\n",
       "    level    float64 8B ...\n",
       "Dimensions without coordinates: south_north, west_east\n",
       "Data variables:\n",
       "    z_500    (Time, south_north, west_east) float64 2GB ..."
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c_500mb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fde95cd7",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_51544/2620181258.py:108: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed in 3.11. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap()`` or ``pyplot.get_cmap()`` instead.\n",
      "  cmap = cm.get_cmap('Spectral_r').copy()\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1500x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Shortest distances between 5760m and 5800m contours:\n",
      "  Current: 290.21 km\n",
      "  Warming: 234.77 km\n",
      "  Warming+Urban: 234.44 km\n"
     ]
    }
   ],
   "source": [
    "from scipy.spatial.distance import cdist\n",
    "from pyproj import Geod\n",
    "\n",
    "def calculate_shortest_distance_between_contours(lons, lats, data, level1=5760, level2=5800):\n",
    "    \"\"\"\n",
    "    Calculate the shortest distance between two contour levels.\n",
    "    \n",
    "    Parameters:\n",
    "        lons: Longitude array\n",
    "        lats: Latitude array\n",
    "        data: Height data array\n",
    "        level1: First contour level (default 5760m)\n",
    "        level2: Second contour level (default 5800m)\n",
    "    \n",
    "    Returns:\n",
    "        min_distance_km: Shortest distance in kilometers\n",
    "        point1: (lon, lat) of closest point on contour 1\n",
    "        point2: (lon, lat) of closest point on contour 2\n",
    "    \"\"\"\n",
    "    import matplotlib.pyplot as plt\n",
    "    \n",
    "    # Create a temporary figure to extract contour coordinates\n",
    "    fig_temp, ax_temp = plt.subplots()\n",
    "    cs1 = ax_temp.contour(lons, lats, data, levels=[level1])\n",
    "    cs2 = ax_temp.contour(lons, lats, data, levels=[level2])\n",
    "    plt.close(fig_temp)\n",
    "    \n",
    "    # Extract contour coordinates using allsegs\n",
    "    coords1 = []\n",
    "    coords2 = []\n",
    "    \n",
    "    # allsegs is a list of lists of arrays, one for each contour level\n",
    "    if hasattr(cs1, 'allsegs'):\n",
    "        for level_segs in cs1.allsegs:\n",
    "            for seg in level_segs:\n",
    "                if len(seg) > 0:\n",
    "                    coords1.append(seg)\n",
    "    \n",
    "    if hasattr(cs2, 'allsegs'):\n",
    "        for level_segs in cs2.allsegs:\n",
    "            for seg in level_segs:\n",
    "                if len(seg) > 0:\n",
    "                    coords2.append(seg)\n",
    "    \n",
    "    # Combine all segments\n",
    "    if len(coords1) == 0 or len(coords2) == 0:\n",
    "        return None, None, None\n",
    "    \n",
    "    all_coords1 = np.vstack(coords1)\n",
    "    all_coords2 = np.vstack(coords2)\n",
    "    \n",
    "    # Use Geod for accurate distance calculation on Earth's surface\n",
    "    geod = Geod(ellps='WGS84')\n",
    "    \n",
    "    min_distance = np.inf\n",
    "    best_point1 = None\n",
    "    best_point2 = None\n",
    "    \n",
    "    # Sample points to reduce computation (every 5th point for speed)\n",
    "    sample_rate = 5\n",
    "    \n",
    "    for i in range(0, len(all_coords1), sample_rate):\n",
    "        lon1, lat1 = all_coords1[i]\n",
    "        for j in range(0, len(all_coords2), sample_rate):\n",
    "            lon2, lat2 = all_coords2[j]\n",
    "            \n",
    "            # Calculate distance using geodesic\n",
    "            _, _, distance = geod.inv(lon1, lat1, lon2, lat2)\n",
    "            distance_km = distance / 1000.0  # Convert to km\n",
    "            \n",
    "            if distance_km < min_distance:\n",
    "                min_distance = distance_km\n",
    "                best_point1 = (lon1, lat1)\n",
    "                best_point2 = (lon2, lat2)\n",
    "    \n",
    "    return min_distance, best_point1, best_point2\n",
    "\n",
    "\n",
    "def plot_mean_500mb_heights(c_ds, f_ds, fu_ds, month_name, show_distance=True):\n",
    "    \"\"\"\n",
    "    Plots the mean 500mb geopotential heights for three simulations side by side.\n",
    "    \n",
    "    Parameters:\n",
    "        c_ds: Current simulation dataset\n",
    "        f_ds: Future simulation dataset  \n",
    "        fu_ds: Future+Urban simulation dataset\n",
    "        month_name: Name of the month for the title\n",
    "        show_distance: If True, plot the shortest distance between 5820 and 5860 contours\n",
    "    \"\"\"\n",
    "    \n",
    "    # Calculate mean 500mb heights for each simulation\n",
    "    c_mean = c_ds['z_500'].mean(dim='Time')\n",
    "    f_mean = f_ds['z_500'].mean(dim='Time')\n",
    "    fu_mean = fu_ds['z_500'].mean(dim='Time')\n",
    "    \n",
    "    # Get coordinates\n",
    "    lats = c_ds['XLAT']\n",
    "    lons = c_ds['XLONG']\n",
    "    \n",
    "    # Define colormap and levels for filled contours\n",
    "    import matplotlib.colors as mcolors\n",
    "    from matplotlib import cm\n",
    "    \n",
    "    # Height levels for filled contours (every 40m)\n",
    "    height_levels = np.arange(5600, 6000, 40)\n",
    "    \n",
    "    # Copy the colormap so we can modify it\n",
    "    cmap = cm.get_cmap('Spectral_r').copy()\n",
    "    \n",
    "    # Set distinct colors for extensions\n",
    "    cmap.set_under('#4a0080')  # Dark purple for values below range\n",
    "    cmap.set_over('#800000')   # Dark maroon for values above range\n",
    "    \n",
    "    norm = mcolors.BoundaryNorm(height_levels, cmap.N)\n",
    "    \n",
    "    # Contour line levels (every 40m for clarity)\n",
    "    contour_levels = np.arange(5600, 6000, 40)\n",
    "    \n",
    "    # Set up the figure and 1x3 subplots\n",
    "    fig, axs = plt.subplots(1, 3, figsize=(15, 4), subplot_kw={'projection': ccrs.PlateCarree()})\n",
    "    \n",
    "    datasets = [c_mean, f_mean, fu_mean]\n",
    "    titles = ['Current', 'Warming', 'Warming+Urban']\n",
    "    \n",
    "    # Calculate distances if needed\n",
    "    if show_distance:\n",
    "        distances = []\n",
    "        for data in datasets:\n",
    "            dist, pt1, pt2 = calculate_shortest_distance_between_contours(lons, lats, data)\n",
    "            distances.append((dist, pt1, pt2))\n",
    "    \n",
    "    for idx, (ax, data, title) in enumerate(zip(axs, datasets, titles)):\n",
    "        # Set extent\n",
    "        ax.set_extent([lons.min(), lons.max(), lats.min(), lats.max()])\n",
    "        \n",
    "        # Filled contours for height values\n",
    "        cf = ax.contourf(lons, lats, data, levels=height_levels, cmap=cmap, norm=norm,\n",
    "                         transform=ccrs.PlateCarree(), zorder=1, extend='both')\n",
    "        \n",
    "        # Black contour lines with labels\n",
    "        cs = ax.contour(lons, lats, data, levels=contour_levels, colors='black', \n",
    "                       linewidths=1.2, transform=ccrs.PlateCarree(), zorder=2)\n",
    "        ax.clabel(cs, inline=True, fontsize=8, fmt='%d')\n",
    "        \n",
    "        # Plot shortest distance line if requested\n",
    "        if show_distance and distances[idx][0] is not None:\n",
    "            dist_km, pt1, pt2 = distances[idx]\n",
    "            ax.plot([pt1[0], pt2[0]], [pt1[1], pt2[1]], 'b-', linewidth=2.5, \n",
    "                   transform=ccrs.PlateCarree(), zorder=4, label=f'{dist_km:.1f} km')\n",
    "            ax.plot([pt1[0], pt2[0]], [pt1[1], pt2[1]], 'bo', markersize=5,\n",
    "                   transform=ccrs.PlateCarree(), zorder=5)\n",
    "            ax.legend(loc='upper right', fontsize=9)\n",
    "        \n",
    "        # Add features\n",
    "        ax.add_feature(cfeature.STATES, edgecolor=\"gray\", linewidths=0.5, alpha=0.7)\n",
    "        ax.add_feature(cfeature.COASTLINE, edgecolor=\"gray\", linewidths=0.5, alpha=0.7)\n",
    "        \n",
    "        # Gridlines\n",
    "        gl = ax.gridlines(draw_labels=True, linewidth=0.35, color='gray', alpha=0.5, linestyle='--', zorder=3)\n",
    "        gl.top_labels = False\n",
    "        gl.right_labels = False\n",
    "        \n",
    "        # Only show left labels on leftmost plot\n",
    "        if idx > 0:\n",
    "            gl.left_labels = False\n",
    "        else:\n",
    "            gl.left_labels = True\n",
    "            \n",
    "        gl.bottom_labels = True\n",
    "        \n",
    "        # Title\n",
    "        ax.set_title(f'{title}', fontsize=11, fontweight='bold')\n",
    "    \n",
    "    # Add colorbar to the rightmost plot\n",
    "    cbar = plt.colorbar(cf, ax=axs[-1], orientation='vertical', \n",
    "                        fraction=0.03, pad=0.01, extend='both')\n",
    "    cbar.set_label('Geopotential Height (m)', fontsize=10)\n",
    "    \n",
    "    # Main title\n",
    "    fig.suptitle(f'Mean 500mb Geopotential Height - {month_name}', fontsize=13, fontweight='bold', y=0.98)\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "    \n",
    "    # Print distances\n",
    "    if show_distance:\n",
    "        print(\"\\nShortest distances between 5760m and 5800m contours:\")\n",
    "        for idx, (title, (dist, _, _)) in enumerate(zip(titles, distances)):\n",
    "            if dist is not None:\n",
    "                print(f\"  {title}: {dist:.2f} km\")\n",
    "\n",
    "# Call the function with loaded data\n",
    "plot_mean_500mb_heights(c_500mb, f_500mb, fu_500mb, 'April', show_distance=True)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "atms-shap",
   "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": "3.11.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
