{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Met stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from datetime import datetime, timezone\n",
    "import geopandas as gpd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import pooch\n",
    "from matplotlib import ticker"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Met Éireann stations\n",
    "\n",
    "- Station details can be found here:\n",
    "  <https://cli.fusio.net/cli/climate_data/webdata/StationDetails.csv>\n",
    "- <https://www.met.ie/climate/weather-observing-stations>\n",
    "- Check the \"Show closed stations\" box to obtain data for this replaced\n",
    "  station: <https://www.met.ie/climate/available-data/historical-data>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "URL = \"https://cli.fusio.net/cli/climate_data/webdata/StationDetails.csv\"\n",
    "SUB_DIR = os.path.join(\"data\", \"met\", \"MetEireann\")\n",
    "KNOWN_HASH = None\n",
    "os.makedirs(SUB_DIR, exist_ok=True)\n",
    "FILE_NAME = \"StationDetails.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# download data if necessary\n",
    "if not os.path.isfile(os.path.join(SUB_DIR, FILE_NAME)):\n",
    "    pooch.retrieve(\n",
    "        url=URL, known_hash=KNOWN_HASH, fname=FILE_NAME, path=SUB_DIR\n",
    "    )\n",
    "\n",
    "    with open(\n",
    "        os.path.join(SUB_DIR, f\"{FILE_NAME[:-4]}.txt\"), \"w\", encoding=\"utf-8\"\n",
    "    ) as outfile:\n",
    "        outfile.write(\n",
    "            f\"Data downloaded on: {datetime.now(tz=timezone.utc)}\\n\"\n",
    "            f\"Download URL: {URL}\"\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "stations_roi = pd.read_csv(os.path.join(SUB_DIR, FILE_NAME))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2083, 10)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_roi.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>county</th>\n",
       "      <th>station name</th>\n",
       "      <th>name</th>\n",
       "      <th>height(m)</th>\n",
       "      <th>easting</th>\n",
       "      <th>northing</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>open year</th>\n",
       "      <th>close year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Antrim</td>\n",
       "      <td>5880</td>\n",
       "      <td>LH_RATHLIN_WEST</td>\n",
       "      <td>10</td>\n",
       "      <td>309200</td>\n",
       "      <td>451800</td>\n",
       "      <td>55.30083</td>\n",
       "      <td>-6.28028</td>\n",
       "      <td>2000</td>\n",
       "      <td>(null)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>4415</td>\n",
       "      <td>TULLOW (Waterworks)</td>\n",
       "      <td>76</td>\n",
       "      <td>284700</td>\n",
       "      <td>173400</td>\n",
       "      <td>52.80528</td>\n",
       "      <td>-6.74306</td>\n",
       "      <td>1985</td>\n",
       "      <td>(null)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>2414</td>\n",
       "      <td>BORRIS G.S.</td>\n",
       "      <td>85</td>\n",
       "      <td>272400</td>\n",
       "      <td>150700</td>\n",
       "      <td>52.60278</td>\n",
       "      <td>-6.93056</td>\n",
       "      <td>1944</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>1214</td>\n",
       "      <td>CARLOW (SUGAR FACTORY)</td>\n",
       "      <td>58</td>\n",
       "      <td>272200</td>\n",
       "      <td>178400</td>\n",
       "      <td>52.85139</td>\n",
       "      <td>-6.92778</td>\n",
       "      <td>1953</td>\n",
       "      <td>1960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>115</td>\n",
       "      <td>HACKETSTOWN RECTORY</td>\n",
       "      <td>182</td>\n",
       "      <td>297600</td>\n",
       "      <td>180500</td>\n",
       "      <td>52.86667</td>\n",
       "      <td>-6.55000</td>\n",
       "      <td>1910</td>\n",
       "      <td>1944</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   county  station name                    name  height(m)  easting  northing  \\\n",
       "0  Antrim          5880         LH_RATHLIN_WEST         10   309200    451800   \n",
       "1  Carlow          4415     TULLOW (Waterworks)         76   284700    173400   \n",
       "2  Carlow          2414             BORRIS G.S.         85   272400    150700   \n",
       "3  Carlow          1214  CARLOW (SUGAR FACTORY)         58   272200    178400   \n",
       "4  Carlow           115     HACKETSTOWN RECTORY        182   297600    180500   \n",
       "\n",
       "   latitude  longitude open year close year  \n",
       "0  55.30083   -6.28028      2000     (null)  \n",
       "1  52.80528   -6.74306      1985     (null)  \n",
       "2  52.60278   -6.93056      1944       1991  \n",
       "3  52.85139   -6.92778      1953       1960  \n",
       "4  52.86667   -6.55000      1910       1944  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_roi.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert coordinates to well known text\n",
    "stations_roi[\"wkt\"] = (\n",
    "    \"POINT (\"\n",
    "    + stations_roi[\"longitude\"].astype(str)\n",
    "    + \" \"\n",
    "    + stations_roi[\"latitude\"].astype(str)\n",
    "    + \")\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert wkt to geometry\n",
    "stations_roi = gpd.GeoDataFrame(\n",
    "    stations_roi,\n",
    "    geometry=gpd.GeoSeries.from_wkt(stations_roi[\"wkt\"]),\n",
    "    crs=\"EPSG:4326\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop wkt, lon, lat column\n",
    "stations_roi.drop(columns=[\"wkt\", \"longitude\", \"latitude\"], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# replace null values\n",
    "stations_roi = stations_roi.replace(\n",
    "    {\"close year\": {\"(null)\": np.nan}, \"open year\": {\"(null)\": np.nan}}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# stations_roi[\"close year\"] = pd.to_numeric(stations_roi[\"close year\"])\n",
    "# stations_roi[\"open year\"] = pd.to_numeric(stations_roi[\"open year\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # filter stations that have data for the historic reference period\n",
    "# stations_roi = stations_roi[\n",
    "#     (stations_roi[\"close year\"] >= 2005) &\n",
    "#     (stations_roi[\"open year\"] <= 1976)\n",
    "# ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # replace null values\n",
    "# stations_roi = stations_roi.replace({\"close year\": {np.nan: None}})\n",
    "# stations_roi = stations_roi.replace({\"open year\": {np.nan: None}})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>county</th>\n",
       "      <th>station name</th>\n",
       "      <th>name</th>\n",
       "      <th>height(m)</th>\n",
       "      <th>easting</th>\n",
       "      <th>northing</th>\n",
       "      <th>open year</th>\n",
       "      <th>close year</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Antrim</td>\n",
       "      <td>5880</td>\n",
       "      <td>LH_RATHLIN_WEST</td>\n",
       "      <td>10</td>\n",
       "      <td>309200</td>\n",
       "      <td>451800</td>\n",
       "      <td>2000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-6.28028 55.30083)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>4415</td>\n",
       "      <td>TULLOW (Waterworks)</td>\n",
       "      <td>76</td>\n",
       "      <td>284700</td>\n",
       "      <td>173400</td>\n",
       "      <td>1985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>POINT (-6.74306 52.80528)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>2414</td>\n",
       "      <td>BORRIS G.S.</td>\n",
       "      <td>85</td>\n",
       "      <td>272400</td>\n",
       "      <td>150700</td>\n",
       "      <td>1944</td>\n",
       "      <td>1991</td>\n",
       "      <td>POINT (-6.93056 52.60278)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>1214</td>\n",
       "      <td>CARLOW (SUGAR FACTORY)</td>\n",
       "      <td>58</td>\n",
       "      <td>272200</td>\n",
       "      <td>178400</td>\n",
       "      <td>1953</td>\n",
       "      <td>1960</td>\n",
       "      <td>POINT (-6.92778 52.85139)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Carlow</td>\n",
       "      <td>115</td>\n",
       "      <td>HACKETSTOWN RECTORY</td>\n",
       "      <td>182</td>\n",
       "      <td>297600</td>\n",
       "      <td>180500</td>\n",
       "      <td>1910</td>\n",
       "      <td>1944</td>\n",
       "      <td>POINT (-6.55000 52.86667)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   county  station name                    name  height(m)  easting  northing  \\\n",
       "0  Antrim          5880         LH_RATHLIN_WEST         10   309200    451800   \n",
       "1  Carlow          4415     TULLOW (Waterworks)         76   284700    173400   \n",
       "2  Carlow          2414             BORRIS G.S.         85   272400    150700   \n",
       "3  Carlow          1214  CARLOW (SUGAR FACTORY)         58   272200    178400   \n",
       "4  Carlow           115     HACKETSTOWN RECTORY        182   297600    180500   \n",
       "\n",
       "  open year close year                   geometry  \n",
       "0      2000        NaN  POINT (-6.28028 55.30083)  \n",
       "1      1985        NaN  POINT (-6.74306 52.80528)  \n",
       "2      1944       1991  POINT (-6.93056 52.60278)  \n",
       "3      1953       1960  POINT (-6.92778 52.85139)  \n",
       "4      1910       1944  POINT (-6.55000 52.86667)  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_roi.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(223, 9)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_roi.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Met Office data for stations in Northern Ireland\n",
    "\n",
    "<https://www.metoffice.gov.uk/research/climate/maps-and-data/uk-synoptic-and-climate-stations>\n",
    "\n",
    "Met Office (2019): Met Office MIDAS Open: UK Land Surface Stations Data\n",
    "(1853-current). Centre for Environmental Data Analysis.\n",
    "<https://catalogue.ceda.ac.uk/uuid/dbd451271eb04662beade68da43546e1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "SUB_DIR = os.path.join(\"data\", \"met\", \"MetOffice\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "stations_ni = pd.read_csv(\n",
    "    os.path.join(\n",
    "        SUB_DIR,\n",
    "        \"midas-open_uk-daily-weather-obs_dv-202107_station-metadata.csv\",\n",
    "    ),\n",
    "    skiprows=46,\n",
    "    skipfooter=1,\n",
    "    engine=\"python\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1588, 9)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_ni.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>src_id</th>\n",
       "      <th>station_name</th>\n",
       "      <th>station_file_name</th>\n",
       "      <th>historic_county</th>\n",
       "      <th>station_latitude</th>\n",
       "      <th>station_longitude</th>\n",
       "      <th>station_elevation</th>\n",
       "      <th>first_year</th>\n",
       "      <th>last_year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>FOULA</td>\n",
       "      <td>foula</td>\n",
       "      <td>shetland</td>\n",
       "      <td>60.154</td>\n",
       "      <td>-2.074</td>\n",
       "      <td>22</td>\n",
       "      <td>1985</td>\n",
       "      <td>2003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>FAIR ISLE</td>\n",
       "      <td>fair-isle</td>\n",
       "      <td>shetland</td>\n",
       "      <td>59.526</td>\n",
       "      <td>-1.630</td>\n",
       "      <td>57</td>\n",
       "      <td>1974</td>\n",
       "      <td>2020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>SUMBURGH</td>\n",
       "      <td>sumburgh</td>\n",
       "      <td>shetland</td>\n",
       "      <td>59.879</td>\n",
       "      <td>-1.299</td>\n",
       "      <td>7</td>\n",
       "      <td>1978</td>\n",
       "      <td>1996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5</td>\n",
       "      <td>HAMNAVOE</td>\n",
       "      <td>hamnavoe</td>\n",
       "      <td>shetland</td>\n",
       "      <td>60.104</td>\n",
       "      <td>-1.333</td>\n",
       "      <td>21</td>\n",
       "      <td>1962</td>\n",
       "      <td>1972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>COLLAFIRTH</td>\n",
       "      <td>collafirth</td>\n",
       "      <td>shetland</td>\n",
       "      <td>60.533</td>\n",
       "      <td>-1.391</td>\n",
       "      <td>228</td>\n",
       "      <td>1963</td>\n",
       "      <td>1991</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   src_id station_name station_file_name historic_county  station_latitude  \\\n",
       "0       1        FOULA             foula        shetland            60.154   \n",
       "1       3    FAIR ISLE         fair-isle        shetland            59.526   \n",
       "2       4     SUMBURGH          sumburgh        shetland            59.879   \n",
       "3       5     HAMNAVOE          hamnavoe        shetland            60.104   \n",
       "4       7   COLLAFIRTH        collafirth        shetland            60.533   \n",
       "\n",
       "   station_longitude  station_elevation  first_year  last_year  \n",
       "0             -2.074                 22        1985       2003  \n",
       "1             -1.630                 57        1974       2020  \n",
       "2             -1.299                  7        1978       1996  \n",
       "3             -1.333                 21        1962       1972  \n",
       "4             -1.391                228        1963       1991  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_ni.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# list of historic counties in NI\n",
    "# https://en.wikipedia.org/wiki/Historic_counties_of_the_United_Kingdom\n",
    "counties_ni = [\n",
    "    \"antrim\",\n",
    "    \"armagh\",\n",
    "    \"down\",\n",
    "    \"fermanagh\",\n",
    "    \"londonderry\",\n",
    "    \"tyrone\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# keep only NI data\n",
    "stations_ni = stations_ni[stations_ni[\"historic_county\"].isin(counties_ni)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert coordinates to well known text\n",
    "stations_ni[\"wkt\"] = (\n",
    "    \"POINT (\"\n",
    "    + stations_ni[\"station_longitude\"].astype(str)\n",
    "    + \" \"\n",
    "    + stations_ni[\"station_latitude\"].astype(str)\n",
    "    + \")\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert wkt to geometry\n",
    "stations_ni = gpd.GeoDataFrame(\n",
    "    stations_ni,\n",
    "    geometry=gpd.GeoSeries.from_wkt(stations_ni[\"wkt\"]),\n",
    "    crs=\"EPSG:4326\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop wkt, lon, lat column\n",
    "stations_ni.drop(\n",
    "    columns=[\"wkt\", \"station_longitude\", \"station_latitude\"], inplace=True\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # filter stations that have data for the historic reference period\n",
    "# stations_ni = stations_ni[\n",
    "#     (stations_ni[\"last_year\"] >= 2005) & (stations_ni[\"first_year\"] <= 1976)\n",
    "# ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rename Londonderry to Derry\n",
    "stations_ni = stations_ni.replace(\n",
    "    {\"historic_county\": {\"londonderry\": \"derry\"}}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>src_id</th>\n",
       "      <th>station_name</th>\n",
       "      <th>station_file_name</th>\n",
       "      <th>historic_county</th>\n",
       "      <th>station_elevation</th>\n",
       "      <th>first_year</th>\n",
       "      <th>last_year</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>24924</td>\n",
       "      <td>DOWNPATRICK, BALLYGALLUM</td>\n",
       "      <td>downpatrick-ballygallum</td>\n",
       "      <td>down</td>\n",
       "      <td>18</td>\n",
       "      <td>1999</td>\n",
       "      <td>2000</td>\n",
       "      <td>POINT (-5.68000 54.29400)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>25353</td>\n",
       "      <td>PEATLANDS</td>\n",
       "      <td>peatlands</td>\n",
       "      <td>armagh</td>\n",
       "      <td>34</td>\n",
       "      <td>2000</td>\n",
       "      <td>2019</td>\n",
       "      <td>POINT (-6.62000 54.48300)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>17292</td>\n",
       "      <td>PORTRUSH</td>\n",
       "      <td>portrush</td>\n",
       "      <td>antrim</td>\n",
       "      <td>8</td>\n",
       "      <td>1996</td>\n",
       "      <td>2002</td>\n",
       "      <td>POINT (-6.65600 55.20800)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>830</th>\n",
       "      <td>17341</td>\n",
       "      <td>BALLYGAWLEY PRIMARY SCHOOL</td>\n",
       "      <td>ballygawley-primary-school</td>\n",
       "      <td>tyrone</td>\n",
       "      <td>88</td>\n",
       "      <td>1996</td>\n",
       "      <td>1998</td>\n",
       "      <td>POINT (-7.03500 54.46500)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>1425</td>\n",
       "      <td>COOLKEERAGH POWER STATION</td>\n",
       "      <td>coolkeeragh-power-station</td>\n",
       "      <td>derry</td>\n",
       "      <td>3</td>\n",
       "      <td>1971</td>\n",
       "      <td>1980</td>\n",
       "      <td>POINT (-7.25100 55.04300)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      src_id                station_name           station_file_name  \\\n",
       "301    24924    DOWNPATRICK, BALLYGALLUM     downpatrick-ballygallum   \n",
       "673    25353                   PEATLANDS                   peatlands   \n",
       "781    17292                    PORTRUSH                    portrush   \n",
       "830    17341  BALLYGAWLEY PRIMARY SCHOOL  ballygawley-primary-school   \n",
       "1232    1425   COOLKEERAGH POWER STATION   coolkeeragh-power-station   \n",
       "\n",
       "     historic_county  station_elevation  first_year  last_year  \\\n",
       "301             down                 18        1999       2000   \n",
       "673           armagh                 34        2000       2019   \n",
       "781           antrim                  8        1996       2002   \n",
       "830           tyrone                 88        1996       1998   \n",
       "1232           derry                  3        1971       1980   \n",
       "\n",
       "                       geometry  \n",
       "301   POINT (-5.68000 54.29400)  \n",
       "673   POINT (-6.62000 54.48300)  \n",
       "781   POINT (-6.65600 55.20800)  \n",
       "830   POINT (-7.03500 54.46500)  \n",
       "1232  POINT (-7.25100 55.04300)  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_ni.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(156, 8)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations_ni.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Ireland boundary\n",
    "GPKG_BOUNDARY = os.path.join(\"data\", \"boundaries\", \"boundaries_all.gpkg\")\n",
    "ie = gpd.read_file(GPKG_BOUNDARY, layer=\"NUTS_RG_01M_2021_2157_IE\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "base = ie.plot(\n",
    "    color=\"navajowhite\",\n",
    "    figsize=(9, 9),\n",
    "    edgecolor=\"darkslategrey\",\n",
    "    linewidth=0.5,\n",
    ")\n",
    "stations_roi.to_crs(ie.crs).to_crs(ie.crs).plot(\n",
    "    ax=base, color=\"royalblue\", markersize=5, label=\"Met Éireann\"\n",
    ")\n",
    "stations_ni.to_crs(ie.crs).plot(\n",
    "    ax=base, color=\"crimson\", markersize=5, label=\"Met Office\"\n",
    ")\n",
    "\n",
    "base.tick_params(labelbottom=False, labelleft=False)\n",
    "\n",
    "plt.title(\"Meteorological stations in the Island of Ireland\")\n",
    "plt.text(\n",
    "    625000,\n",
    "    500000,\n",
    "    \"© Met Éireann\\n© Met Office, NERC EDS CEDA\\n\"\n",
    "    + \"© Ordnance Survey Ireland\\n\"\n",
    "    \"© Ordnance Survey Northern Ireland\",\n",
    ")\n",
    "plt.legend(loc=\"upper left\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save as GPKG\n",
    "GPKG_MET = os.path.join(\"data\", \"met\", \"met_stations.gpkg\")\n",
    "stations_roi.to_file(GPKG_MET, layer=\"MetEireann\")\n",
    "stations_ni.to_file(GPKG_MET, layer=\"MetOffice\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10.6 ('ClimAg')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  },
  "vscode": {
   "interpreter": {
    "hash": "c4e659d1bedfc73d1fd31d7c0e2c79d7cc7aac22204994016c65a9e44686eb91"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}