{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4afa3fdd-70d5-404f-b7ec-cb82827e99da",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import glob\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import xarray as xr\n",
    "from oggm import utils"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8192b50-cd79-4bb9-98c3-08048a507531",
   "metadata": {},
   "source": [
    "##  On dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "525ffb40-58e1-4e7f-9f70-0bb78521841c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from terrafirma_helpers import load_scenario, load_all_scenarios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7bb62951-3f34-4c25-a36b-d1a547a9c62a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Note: scenario='up2p0', variable='pr' found in both directories; using new_data version (longer record).\n",
      "    DIRPATH  : ['pr_Amon_UKESM1-2-LL_esm-up2p0_r1i1p1f1_gn_185001-194912.nc', 'pr_Amon_UKESM1-2-LL_esm-up2p0_r1i1p1f1_gn_195001-204912.nc', 'pr_Amon_UKESM1-2-LL_esm-up2p0_r1i1p1f1_gn_205001-213912.nc']\n",
      "    new_data : ['pr_Amon_UKESM1-2-LL_esm-up2p0_r1i1p1f1_gn_185001-223811.nc']\n",
      "  Note: scenario='up2p0-gwl4p0-50y-dn2p0', variable='pr' found in both directories; using new_data version (longer record).\n",
      "    DIRPATH  : ['pr_Amon_UKESM1-2-LL_esm-up2p0-gwl4p0-50y-dn2p0_r1i1p1f1_gn_209501-214912.nc', 'pr_Amon_UKESM1-2-LL_esm-up2p0-gwl4p0-50y-dn2p0_r1i1p1f1_gn_215001-221512.nc', 'pr_Amon_UKESM1-2-LL_esm-up2p0-gwl4p0-50y-dn2p0_r1i1p1f1_gn_221601-224912.nc', 'pr_Amon_UKESM1-2-LL_esm-up2p0-gwl4p0-50y-dn2p0_r1i1p1f1_gn_225001-228412.nc']\n",
      "    new_data : ['pr_Amon_UKESM1-2-LL_esm-up2p0-gwl4p0-50y-dn2p0_r1i1p1f1_gn_209401-228505.nc']\n"
     ]
    }
   ],
   "source": [
    "ds = load_scenario('up2p0-gwl4p0-50y-dn2p0-gwl2p0', variable='pr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6e9a3246-fe9e-4c57-938c-a57d4925702b",
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = np.cos(np.deg2rad(ds.lat))\n",
    "tas_w = ds.pr.weighted(weights)\n",
    "ts = tas_w.mean(dim=('lon','lat'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6d1d844e-1e10-4d5c-b670-652bef383b6f",
   "metadata": {},
   "outputs": [],
   "source": [
    "with xr.open_dataset('glacier_grid_on_ukesm.nc') as dsg:\n",
    "    dsg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a5ecc291-2e79-44b8-adcb-cc2d26b4a916",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'<xarray.Dataset> Size: 4MB\\nDimensions:                 (lat: 144, lon: 192, reg: 19)\\nCoordinates:\\n  * lat                     (lat) float64 1kB -89.38 -88.12 ... 88.12 89.38\\n  * lon                     (lon) float64 2kB 0.9375 2.812 4.688 ... 357.2 359.1\\n  * reg                     (reg) int64 152B 1 2 3 4 5 6 7 ... 14 15 16 17 18 19\\nData variables:\\n    glacier_area            (lat, lon) float64 221kB ...\\n    glacier_area_by_region  (reg, lat, lon) float64 4MB ...'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "str(dsg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c915b23d-8e16-4d99-81ca-43f4de73d3d5",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aef6d98d-b187-465e-9aa2-cdaf489aa644",
   "metadata": {},
   "outputs": [],
   "source": [
    "tsa = ts.resample(time='YS').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "914358ad-3156-490f-8c78-cf98b5ca05e5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tsa.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2ebeac21-6163-4ad7-bc18-c5565f1fe1e5",
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_rgi6 = pd.read_csv(utils.file_downloader('https://cluster.klima.uni-bremen.de/~oggm/rgi/rgi62_stats.csv'))\n",
    "pd_rgi6 = pd_rgi6.loc[pd_rgi6.Connect !=2]\n",
    "df = pd_rgi6.set_index('RGIId').sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "8fc33a5e-bc78-40c5-a038-02da518a70c7",
   "metadata": {},
   "outputs": [],
   "source": [
    "nx, ny = ds.sizes['lon'], ds.sizes['lat']\n",
    "dx = ds.lon.data[1] - ds.lon.data[0]\n",
    "dy = ds.lat.data[1] - ds.lat.data[0]\n",
    "lon_bins = np.linspace(ds.lon.data[0] - dx/2, ds.lon.data[-1] + dx/2, nx+1)\n",
    "lat_bins = np.linspace(ds.lat.data[0] - dy/2, ds.lat.data[-1] + dy/2, ny+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7f1c0318-a0ad-4fd6-992e-0149ea3f1111",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c181f6fb-2f49-4a36-9d9e-59a2a0acd60a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert glacier lon [-180, 180] → [0, 360]\n",
    "df['cenlon_0360'] = np.where(df['CenLon'] < lon_bins[0], df['CenLon'] + 360, df['CenLon'])\n",
    "\n",
    "# Nearest neighbor lookup\n",
    "df['lon_id'] = np.digitize(df['cenlon_0360'], lon_bins)-1\n",
    "df['lat_id'] = np.digitize(df['CenLat'], lat_bins)-1\n",
    "df['lon_val'] = ds.lon.data[df.lon_id]\n",
    "df['lat_val'] = ds.lat.data[df.lat_id]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "4a85035d-18a5-4a05-8053-d141eb3be94e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['ll_dist_to_point'] = ((ds.lon.data[df.lon_id] - df.cenlon_0360)**2 + \n",
    "                          (ds.lat.data[df.lat_id] - df.CenLat)**2)**0.5\n",
    "assert df['ll_dist_to_point'].max() < ((dx/2)**2 + (dy/2)**2)**0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6a0ef907-90dd-4965-a051-49ec96c4a6aa",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of glaciers: 215547 and number of UKESM gridpoints with glaciers in them: 1155\n"
     ]
    }
   ],
   "source": [
    "# Use unique grid points as index and compute the area per location\n",
    "df['unique_id'] = ['{:03d}_{:03d}'.format(lon, lat) for (lon, lat) in zip(df['lon_id'], df['lat_id'])]\n",
    "mdf = df.drop_duplicates(subset='unique_id')[['unique_id', 'lon_id', 'lat_id', 'lon_val', 'lat_val']].set_index('unique_id')\n",
    "mdf['rgi_area_km2'] = df.groupby('unique_id')['Area'].sum()\n",
    "print('Total number of glaciers: {} and number of UKESM gridpoints with glaciers in them: {}'.format(len(df), len(mdf)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "b35b3a0d-bf92-48c0-ae80-8aec3d332281",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = np.full((ny, nx), np.nan)\n",
    "mask[mdf['lat_id'], mdf['lon_id']] = mdf['rgi_area_km2']\n",
    "ds['glacier_mask'] = (('lat', 'lon'), np.isfinite(mask))\n",
    "ds['glacier_area'] = (('lat', 'lon'), mask)\n",
    "ds['weight_glacier'] = (('lat', 'lon'), mask / np.nansum(mask))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bbe575e1-5a11-4873-b33d-d64544540b98",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "9f760139-b34f-42a4-ada1-5bbccdf94226",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "8ea1d4a4-1489-4f28-ad76-694c18f04e36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"white\"), sns.plotting_context('talk'):\n",
    "    f = plt.figure(figsize=(18, 6))\n",
    "    ax = plt.axes(projection=ccrs.Robinson())\n",
    "    ds['glacier_area'].plot.imshow(ax=ax, transform=ccrs.PlateCarree(), vmax=500, \n",
    "                                    cbar_kwargs={'label':'Glacier area (km$^{2}$)'}) \n",
    "    ax.coastlines(); ax.gridlines(); ax.set_title('Glacier area per UKESM grid point (km$^{2}$)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "7f884717-32d6-4e74-833b-b86b75f3bb50",
   "metadata": {},
   "outputs": [],
   "source": [
    "regions = sorted(df['O1Region'].unique())  # [1, 2, ..., 19]\n",
    "n_regions = len(regions)\n",
    "\n",
    "area_3d = np.full((n_regions, ny, nx), np.nan)\n",
    "\n",
    "for i, reg in enumerate(regions):\n",
    "    df_reg = df[df['O1Region'] == reg]\n",
    "    mdf_reg = (df_reg.groupby('unique_id')['Area']\n",
    "                     .sum()\n",
    "                     .reset_index()\n",
    "                     .merge(df[['unique_id', 'lon_id', 'lat_id']].drop_duplicates('unique_id'),\n",
    "                            on='unique_id'))\n",
    "    area_3d[i, mdf_reg['lat_id'], mdf_reg['lon_id']] = mdf_reg['Area'].values\n",
    "\n",
    "ds['glacier_area_by_region'] = (('reg', 'lat', 'lon'), area_3d)\n",
    "ds['reg'] = regions  # assign coordinate\n",
    "\n",
    "# Sanity check: sum over regions should equal the total area mask\n",
    "np.testing.assert_allclose(np.nansum(area_3d, axis=0), np.nan_to_num(mask), rtol=1e-5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "86e3bcbd-a7c9-46fc-8352-e983672fbd6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "dss = ds[['glacier_area', 'glacier_area_by_region']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "6694943b-d1b3-4a2b-a333-49c2d7d45c53",
   "metadata": {},
   "outputs": [],
   "source": [
    "dss = dss.drop_vars('height')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c40f25ae-ee6d-46f6-8796-74e21b18d306",
   "metadata": {},
   "outputs": [],
   "source": [
    "dss.attrs = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "0a49dec7-536d-433f-8c49-1f0830ff1d2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with sns.axes_style(\"white\"), sns.plotting_context('talk'):\n",
    "    f = plt.figure(figsize=(18, 6))\n",
    "    ax = plt.axes(projection=ccrs.Robinson())\n",
    "    dss['glacier_area_by_region'].sel(reg=13).plot.imshow(ax=ax, transform=ccrs.PlateCarree(), vmax=500, \n",
    "                                              cbar_kwargs={'label':'Glacier area (km$^{2}$)'}) \n",
    "    ax.coastlines(); ax.gridlines(); ax.set_title('Glacier area per UKESM grid point (km$^{2}$)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "9f883f7e-e9b4-4adf-882e-a5c333392c0e",
   "metadata": {},
   "outputs": [],
   "source": [
    "dss.to_netcdf('glacier_grid_on_ukesm.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "375fcdd3-c070-4b7b-8414-27dfa96ec615",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a747c319-2af1-4ba0-b8f3-ef4b58fdfb17",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a763c717-2a51-4a7e-8b48-da38e90dbce3",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['n_glaciers'] = odf.groupby('unique_id')['temp_bias'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a9b7c57f-a419-40b5-af47-14e1646e6c6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['n_glaciers'].plot.hist(bins=101);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "23be5204-65bf-44e2-b29f-7f0ec6a1275f",
   "metadata": {},
   "outputs": [],
   "source": [
    "dsa = load_all_scenarios(variable='tas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "034e16a9-51b0-4c2a-bee1-ff13c578797f",
   "metadata": {},
   "outputs": [],
   "source": [
    "dsa_a = {}\n",
    "dsa_ta = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b31e51c-6caa-4373-9c86-f6a15d3bb87e",
   "metadata": {},
   "outputs": [],
   "source": [
    "for scenario, ds in dsa.items():\n",
    "    print(scenario)\n",
    "    tas = ds.tas.resample(time='YS').mean().compute()\n",
    "    dsa_a[scenario] = tas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "590c6071-ef74-4267-8dd2-6c92b5deb11d",
   "metadata": {},
   "outputs": [],
   "source": [
    "for scenario, tas in dsa_a.items():\n",
    "    print(scenario)\n",
    "    \n",
    "    weights = np.cos(np.deg2rad(tas.lat))\n",
    "    tas_w = tas.weighted(weights)\n",
    "    dsa_ta[scenario] = tas_w.mean(dim=('lon','lat')).compute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "81b3c430-914f-4cba-843e-4adedf3cbdb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "dsa_ta['piControl'].plot();\n",
    "dsa_ta['up2p0-gwl4p0-50y-dn2p0-gwl2p0'].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a33068b1-9952-472f-a5f8-12d5b349a8d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "dsa_ta['up2p0-gwl2p0-50y-dn1p0'].plot();\n",
    "dsa_ta['up2p0-gwl2p0-50y-dn2p0'].plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b9a4f45-fca8-467b-9846-0e4b384e6cfe",
   "metadata": {},
   "outputs": [],
   "source": [
    "for scenario, ds in dsa_ta.items():\n",
    "    ds.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "793af9d3-bc10-4dee-879e-ba1bef0ef833",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7603896-7c3e-43fd-a939-9ad7418b447c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "76a664c6-53de-46a2-8527-fd4b8917f091",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8090565b-3f83-46d6-abff-4fba1dc1f15b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c8e40528-e886-4d5a-9960-ae984c98dfcb",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "63965423-0bbe-44b4-af4b-10d2595e6e8b",
   "metadata": {},
   "outputs": [],
   "source": [
    "weights = np.cos(np.deg2rad(ds.lat))\n",
    "tas_w = ds.tas.weighted(weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8526b5d5-ea66-43db-89c5-7e8091e22a0c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "35164363-0244-4f60-ae1e-6470b273939d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "323eab6a-1555-4d3f-aac2-8977f63cf5e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "c"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6346cc5c-0f00-4d02-8acd-cce7dbcb1f9c",
   "metadata": {},
   "outputs": [],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c1862561-2bcf-48d5-937d-318386246458",
   "metadata": {},
   "source": [
    "##  On dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39ad2c78-350a-49e7-89ac-a5a33804fa2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from terrafirma_helpers import load_scenario"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "41876f24-5647-4f32-b22e-bf487cc57de7",
   "metadata": {},
   "outputs": [],
   "source": [
    "ds = load_scenario('up2p0-gwl4p0-50y-dn2p0-gwl2p0', variable='tas')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2395ff5b-c704-4789-836f-e3eb1e0e2603",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sanitize\n",
    "odf = df.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f24bce4d-51e4-4299-93da-c6b8beac2317",
   "metadata": {},
   "outputs": [],
   "source": [
    "with xr.open_dataset('/home/www/lschuster/terrafirma_oggm_proj/terrafirma_data/raw_data/tas_Amon_UKESM1-2-LL_esm-hist_r1i1p1f1_gn_185001-194912.nc') as dse:\n",
    "    dse = dse.isel(time=-1)\n",
    "\n",
    "    # Convert 0–360 → −180–180\n",
    "    lon180 = (dse.lon + 180) % 360 - 180\n",
    "    dse = dse.assign_coords(lon=lon180)\n",
    "\n",
    "    # Sort so longitude increases from −180 → 180\n",
    "    dse = dse.sortby('lon')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f6e82e7-3351-4f62-a90b-a73844b0baba",
   "metadata": {},
   "outputs": [],
   "source": [
    "dse.tas.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d5e824bc-c9e0-43db-a7e8-2cd16c45380c",
   "metadata": {},
   "outputs": [],
   "source": [
    "with xr.open_dataset('/home/www/oggm/climate/era5/monthly/v1.1/era5_invariant.nc') as dse:\n",
    "    # dse = dse.resample(time='AS').mean(dim='time')\n",
    "    dse = dse.isel(time=-1)\n",
    "\n",
    "    # Convert 0–360 → −180–180\n",
    "    lon180 = (dse.longitude + 180) % 360 - 180\n",
    "    dse = dse.assign_coords(longitude=lon180)\n",
    "\n",
    "    # Sort so longitude increases from −180 → 180\n",
    "    dse = dse.sortby('longitude')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0892b8f-3d0b-4be4-ab80-a81408c3f627",
   "metadata": {},
   "outputs": [],
   "source": [
    "dse.lsm.plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b3e0fd31-db60-4065-acef-2526a8d41580",
   "metadata": {},
   "outputs": [],
   "source": [
    "nx, ny = dse.sizes['longitude'], dse.sizes['latitude']\n",
    "dx = dse.latitude.data[0] - dse.latitude.data[1]\n",
    "lon_bins = np.linspace(dse.longitude.data[0] - dx/2, dse.longitude.data[-1] + dx/2, nx+1)\n",
    "lat_bins = np.linspace(dse.latitude.data[0] + dx/2, dse.latitude.data[-1] - dx/2, ny+1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fac7d6c7-c992-43fa-8700-47e87aba277d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert glacier lon [-180, 180] → [0, 360]\n",
    "odf['cenlon_0360'] = np.where(odf['cenlon'] > lon_bins[-1],\n",
    "                              odf['cenlon'] - 360,\n",
    "                              odf['cenlon'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfe59a74-210a-44f9-b2bc-f508c0a61ec3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Nearest neighbor lookup\n",
    "odf['lon_id'] = np.digitize(odf['cenlon_0360'], lon_bins)-1\n",
    "odf['lat_id'] = np.digitize(odf['cenlat'], lat_bins)-1\n",
    "odf['lon_val'] = dse.longitude.data[odf.lon_id]\n",
    "odf['lat_val'] = dse.latitude.data[odf.lat_id]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2115b891-0b8d-44b2-916c-9841cf7d3e7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "odf['ll_dist_to_point'] = ((dse.longitude.data[odf.lon_id] - odf.cenlon_0360)**2 + \n",
    "                           (dse.latitude.data[odf.lat_id] - odf.cenlat)**2)**0.5\n",
    "assert odf['ll_dist_to_point'].max() < ((dx/2)**2 + (dx/2)**2)**0.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cc18ca24-563e-40f3-9f15-75bdb939fbd9",
   "metadata": {},
   "outputs": [],
   "source": [
    "assert odf['ll_dist_to_point'].max() < ((dx/2)**2 + (dx/2)**2)**0.5\n",
    "# odf['dist_to_point'].plot.hist(bins=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3e9cfa52-407a-4f60-b225-352667907d01",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use unique grid points as index and compute the area per location\n",
    "odf['unique_id'] = ['{:03d}_{:03d}'.format(lon, lat) for (lon, lat) in zip(odf['lon_id'], odf['lat_id'])]\n",
    "mdf = odf.drop_duplicates(subset='unique_id')[['unique_id', 'lon_id', 'lat_id', 'lon_val', 'lat_val']].set_index('unique_id')\n",
    "mdf['rgi_area_km2'] = odf.groupby('unique_id')['rgi_area_km2'].sum()\n",
    "print('Total number of valid glaciers: {} and number of ERA5 gridpoints with valid glaciers in them: {}'.format(len(odf), len(mdf)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0894c98a-551c-44c0-8c48-bc520e44a3ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = np.full((ny, nx), np.nan)\n",
    "mask[mdf['lat_id'], mdf['lon_id']] = mdf['rgi_area_km2']\n",
    "dse['glacier_mask'] = (('latitude', 'longitude'), np.isfinite(mask))\n",
    "dse['glacier_area'] = (('latitude', 'longitude'), mask)\n",
    "dse['weight_glacier'] = (('latitude', 'longitude'), mask / np.nansum(mask))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f819a63e-3af0-4b94-ac4f-f713e90f4569",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0f91cf62-ce61-40af-b18d-0799b1e64c5d",
   "metadata": {},
   "outputs": [],
   "source": [
    "with sns.axes_style(\"white\"), sns.plotting_context('talk'):\n",
    "    f = plt.figure(figsize=(18, 6))\n",
    "    ax = plt.axes(projection=ccrs.Robinson())\n",
    "    dse['glacier_area'].plot.imshow(ax=ax, transform=ccrs.PlateCarree(), vmax=500, \n",
    "                                    cbar_kwargs={'label':'Glacier area (km$^{2}$)'}) \n",
    "    ax.coastlines(); ax.gridlines(); ax.set_title('Glacier area per ERA5 grid point (km$^{2}$)');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ac9ca2c8-5adc-4967-b0f6-5af7946dcd36",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['n_glaciers'] = odf.groupby('unique_id')['temp_bias'].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f1aba1aa-2690-47bb-bdbe-e61a593b433a",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['n_glaciers'].plot.hist(bins=101);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01da518a-1ab7-466d-94e7-ae85a03dbad4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def quantile_1D(data, weights, quantile):\n",
    "    \"\"\"\n",
    "    Compute the weighted quantile of a 1D numpy array.\n",
    "    Parameters\n",
    "    ----------\n",
    "    data : ndarray\n",
    "        Input array (one dimension).\n",
    "    weights : ndarray\n",
    "        Array with the weights of the same size of `data`.\n",
    "    quantile : float\n",
    "        Quantile to compute. It must have a value between 0 and 1.\n",
    "    Returns\n",
    "    -------\n",
    "    quantile_1D : float\n",
    "        The output value.\n",
    "    \"\"\"\n",
    "    # Check the data\n",
    "    if not isinstance(data, np.matrix):\n",
    "        data = np.asarray(data)\n",
    "    if not isinstance(weights, np.matrix):\n",
    "        weights = np.asarray(weights)\n",
    "    nd = data.ndim\n",
    "    if nd != 1:\n",
    "        raise TypeError(\"data must be a one dimensional array\")\n",
    "    ndw = weights.ndim\n",
    "    if ndw != 1:\n",
    "        raise TypeError(\"weights must be a one dimensional array\")\n",
    "    if data.shape != weights.shape:\n",
    "        raise TypeError(\"the length of data and weights must be the same\")\n",
    "    if ((quantile > 1.) or (quantile < 0.)):\n",
    "        raise ValueError(\"quantile must have a value between 0. and 1.\")\n",
    "    # Sort the data\n",
    "    ind_sorted = np.argsort(data)\n",
    "    sorted_data = data[ind_sorted]\n",
    "    sorted_weights = weights[ind_sorted]\n",
    "    # Compute the auxiliary arrays\n",
    "    Sn = np.cumsum(sorted_weights)\n",
    "    # TODO: Check that the weights do not sum zero\n",
    "    #assert Sn != 0, \"The sum of the weights must not be zero\"\n",
    "    Pn = (Sn-0.5*sorted_weights)/Sn[-1]\n",
    "    # Get the value of the weighted median\n",
    "    return np.interp(quantile, Pn, sorted_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "849856c4-f201-4f7a-a963-37a3ffa9dce8",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias'] = odf.groupby('unique_id')['temp_bias'].median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8d30977d-eefd-421f-9ab3-f26c67101147",
   "metadata": {},
   "outputs": [],
   "source": [
    "def weighted_median_area(df):\n",
    "    return quantile_1D(df.temp_bias.values, df.rgi_area_km2.values, 0.5)\n",
    "mdf['median_temp_bias_w_area'] = odf.groupby('unique_id')[['temp_bias', 'rgi_area_km2']].apply(weighted_median_area)\n",
    "\n",
    "def weighted_median_err(df):\n",
    "    return quantile_1D(df.temp_bias.values, df.reference_mb_err_weights.values, 0.5)\n",
    "mdf['median_temp_bias_w_err'] = odf.groupby('unique_id')[['temp_bias', 'reference_mb_err_weights']].apply(weighted_median_err)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b8c51d1-3312-4af7-bde1-b18dd91c9946",
   "metadata": {},
   "outputs": [],
   "source": [
    "min_glaciers = 12\n",
    "max_radius = 11\n",
    "nlon = dse.sizes['longitude']\n",
    "\n",
    "for i, s in mdf.iterrows():\n",
    "    if s.n_glaciers >= min_glaciers:\n",
    "        mdf.loc[i, 'n_glaciers_grouped'] = mdf.loc[i, 'n_glaciers']\n",
    "        mdf.loc[i, 'search_radius'] = 0\n",
    "        mdf.loc[i, 'median_temp_bias_grouped'] = mdf.loc[i, 'median_temp_bias']\n",
    "        mdf.loc[i, 'median_temp_bias_w_area_grouped'] = mdf.loc[i, 'median_temp_bias_w_area']\n",
    "        mdf.loc[i, 'median_temp_bias_w_err_grouped'] = mdf.loc[i, 'median_temp_bias_w_err']\n",
    "        continue\n",
    "        \n",
    "    radius = 1\n",
    "    while radius < max_radius:\n",
    "        \n",
    "        dlon = np.abs(odf.lon_id - s.lon_id)\n",
    "        dlon = np.minimum(dlon, nlon - dlon)    # proper wrap-around\n",
    "        dlat = np.abs(odf.lat_id - s.lat_id)\n",
    "        sel = odf.loc[(dlon <= radius) & (dlat <= radius)]\n",
    "        \n",
    "        # sel = odf.loc[((np.abs(odf.lon_id - s.lon_id) <= radius) | (np.abs(odf.lon_id - s.lon_id) >= 719 + radius)) & (np.abs(odf.lat_id - s.lat_id) <= radius)]\n",
    "        mdf.loc[i, 'n_glaciers_grouped'] = len(sel)\n",
    "        mdf.loc[i, 'search_radius'] = radius\n",
    "        mdf.loc[i, 'median_temp_bias_grouped'] = sel['temp_bias'].median()\n",
    "        mdf.loc[i, 'median_temp_bias_w_area_grouped'] = weighted_median_area(sel)\n",
    "        mdf.loc[i, 'median_temp_bias_w_err_grouped'] = weighted_median_err(sel)\n",
    "        if len(sel) >= min_glaciers:\n",
    "            break\n",
    "        radius += 1\n",
    "mdf['n_glaciers_grouped'] = mdf['n_glaciers_grouped'].astype(int)\n",
    "mdf['search_radius'] = mdf['search_radius'].astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "91e35162-e4bd-4fd0-8264-921ccf248ece",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['search_radius'].value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40ee898e-12d7-411f-9270-712fea355e57",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['search_radius'].value_counts().sort_index().plot();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d0f605f4-832a-4d5a-b5c3-41b2fb9ed55a",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['n_glaciers_grouped'].plot.hist(bins=101);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6645dd2c-dad9-4385-8378-2c9af1873d29",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['n_glaciers_grouped'].mode()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c7318488-2e12-4d05-90dd-20e6a2d071aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_grouped'].plot.hist(bins=101);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5dba6003-33f7-40cf-83ff-eea2857898d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_err_grouped'].plot.hist(bins=101);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f49b0143-f061-4267-9b03-f9975aba207a",
   "metadata": {},
   "outputs": [],
   "source": [
    "(mdf['median_temp_bias_w_err_grouped'].abs() - mdf['median_temp_bias_grouped'].abs()).plot.hist(bins=101);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b2c39e43-d9c6-4955-900c-96703e332b21",
   "metadata": {},
   "outputs": [],
   "source": [
    "(mdf['median_temp_bias_w_err_grouped'].abs() - mdf['median_temp_bias_grouped'].abs()).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fe49d035-d3f3-4fed-9d41-6bdd60458450",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_err_grouped'].quantile([0.1, 0.5, 0.9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1883bdcc-7d35-4262-90e3-1b8ac94a2d9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias'].quantile([0.1, 0.5, 0.9])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bf851d48-6cb8-40d9-afa4-5b10b1a48f50",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "42f15533-db58-4704-add4-229f3243358c",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_err_grouped'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6332d307-6cf6-43b3-8453-6edc738cbaae",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_err_grouped'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8527b7ff-4d00-47ff-87e4-5468b35dc19b",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_err_grouped'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31ab8336-5eba-4984-8489-8ef0e8118338",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_area_grouped'].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "537f5d0c-15ab-4def-b9c6-f05eb84144d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_area_grouped'].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93a8b7f4-46a4-49b0-8408-5b59b1dfceca",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf['median_temp_bias_w_area_grouped'].std()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "04ce9e82-5b0d-4d11-8cbf-112d57293533",
   "metadata": {},
   "outputs": [],
   "source": [
    "fname = 'era5_rgi6_perglacier_temp_bias_v2025.6.2'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "27c07c7e-eba7-4825-836e-2cfa78d5f7d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "mdf.to_csv(f'/home/users/fmaussion/www_oggm/ref_mb_params/oggm_v1.6/{fname}.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f8ba7e08-c0fd-4a47-a16a-97d92ee614c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "mask = np.full((ny, nx), np.nan)\n",
    "mask[mdf['lat_id'], mdf['lon_id']] = mdf['median_temp_bias_w_err_grouped']\n",
    "dse['median_temp_bias_w_err_grouped'] = (('latitude', 'longitude'), mask)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "737bfaec-82e1-4ae2-8390-2fea028e25e2",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = plt.figure(figsize=(18, 6))\n",
    "ax = plt.axes(projection=ccrs.Robinson())\n",
    "dse['median_temp_bias_w_err_grouped'].plot(ax=ax, transform=ccrs.PlateCarree(),\n",
    "                                           cbar_kwargs={'label':'Temp bias (K)'}) \n",
    "ax.coastlines(); ax.gridlines(); ax.set_title('Median bias per ERA5 grid point (weighted per MB error)');\n",
    "plt.savefig(f'median_werr_grouped_{fname}.png', dpi=300, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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