{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "16e43d82",
   "metadata": {},
   "source": [
    "# Using the water-divide runs: catchments\n",
    "\n",
    "This notebook shows how to work with the new inventory (RGI2025-hydro v2) at the\n",
    "level of individual hydrological catchments, which is what matters for\n",
    "hydropower. It gives:\n",
    "\n",
    "1. the structure of the inventory (which entity is what);\n",
    "2. a summary table for all catchments (volume, mass loss, peak water);\n",
    "3. a worked example for one aggregate catchment, Hálslón.\n",
    "\n",
    "All projections are CMIP6 to 2100 (median and 10th-90th percentile range across\n",
    "GCMs). The same runs also go to 2300 and exist for CMIP5: see `data/projections/`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fc9ec7ec",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:19.939241Z",
     "iopub.status.busy": "2026-10-16T21:19:19.938978Z",
     "iopub.status.idle": "2026-10-16T21:19:21.060225Z",
     "shell.execute_reply": "2026-10-16T21:19:21.058989Z"
    }
   },
   "outputs": [],
   "source": [
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9fcf699d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:21.063562Z",
     "iopub.status.busy": "2026-10-16T21:19:21.063263Z",
     "iopub.status.idle": "2026-10-16T21:19:21.066531Z",
     "shell.execute_reply": "2026-10-16T21:19:21.065528Z"
    }
   },
   "outputs": [],
   "source": [
    "data_dir = \"data\"\n",
    "fig_dir = \"figures\"\n",
    "table_dir = \"tables\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3849ba4b",
   "metadata": {},
   "source": [
    "## The inventory\n",
    "\n",
    "The inventory `data/inventory/RGI2025hydro-v7.0-G-06_iceland.shp` follows the RGI7\n",
    "format, with a few extra columns:\n",
    "\n",
    "- `ent_type`: `catchment` (one of your water-divide catchments), `remnant` (ice not\n",
    "  covered by any catchment, modelled so that totals stay consistent, but not\n",
    "  assigned to a river), or `rgi2025` (unchanged glacier from the first delivery,\n",
    "  with the same `rgi_id`).\n",
    "- `ws_id` and `catchment`: the ID and name of your water-divide polygon.\n",
    "- `icecap`: the ice cap the entity belongs to.\n",
    "\n",
    "New entities have IDs from `RGI2025-v7.0-G-06-10001` onwards, so they never collide\n",
    "with RGI2025 IDs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ab869a2d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:21.068714Z",
     "iopub.status.busy": "2026-10-16T21:19:21.068580Z",
     "iopub.status.idle": "2026-10-16T21:19:21.132176Z",
     "shell.execute_reply": "2026-10-16T21:19:21.131366Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR 1: PROJ: proj_create_from_database: Open of /home/users/fmaussion/.miniforge3/envs/oggm_env/share/proj failed\n"
     ]
    },
    {
     "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>count</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ent_type</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>catchment</th>\n",
       "      <td>59</td>\n",
       "      <td>9547.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>remnant</th>\n",
       "      <td>20</td>\n",
       "      <td>219.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi2025</th>\n",
       "      <td>492</td>\n",
       "      <td>431.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           count     sum\n",
       "ent_type                \n",
       "catchment     59  9547.6\n",
       "remnant       20   219.9\n",
       "rgi2025      492   431.8"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inv = gpd.read_file(f\"{data_dir}/inventory/RGI2025hydro-v7.0-G-06_iceland.shp\")\n",
    "inv = inv.set_index(\"rgi_id\")\n",
    "inv.groupby(\"ent_type\").area_km2.agg([\"count\", \"sum\"]).round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "add89b70",
   "metadata": {},
   "source": [
    "Maps of the new entities, ice cap by ice cap, are in `figures/inventory_maps/`.\n",
    "Your original water divides are drawn as a red dashed line on top of the modelled\n",
    "entities.\n",
    "\n",
    "![Hofsjökull](figures/inventory_maps/Hofsjokull.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a33a08eb",
   "metadata": {},
   "source": [
    "### From your catchments to model entities\n",
    "\n",
    "Most catchments correspond to exactly one model entity (the one with the same\n",
    "`ws_id`). Two of your catchments contain smaller ones and are modelled as sums\n",
    "(`data/inventory/catchment_lookup.csv`):\n",
    "\n",
    "- **Halslon10** (0035) = Kring + illakv + jokulsa + jokulkvisl;\n",
    "- **Jökulsá í Lóni** (0041) = Skyndidalsá + the rest of the Jökulsá í Lóni catchment.\n",
    "\n",
    "Þingvallavatn is modelled with the Þingvallavatn_2 delineation (0023), as you\n",
    "chose. It includes 43 km² that are also part of your Hagavatn polygon: in the\n",
    "model, this area belongs to Þingvallavatn only."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d66691dd",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:21.135560Z",
     "iopub.status.busy": "2026-10-16T21:19:21.135266Z",
     "iopub.status.idle": "2026-10-16T21:19:21.155659Z",
     "shell.execute_reply": "2026-10-16T21:19:21.154559Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "60 catchments (incl. 2 aggregates)\n",
      "Hálslón: ['RGI2025-v7.0-G-06-10041', 'RGI2025-v7.0-G-06-10047', 'RGI2025-v7.0-G-06-10048', 'RGI2025-v7.0-G-06-10049']\n"
     ]
    }
   ],
   "source": [
    "lookup = pd.read_csv(f\"{data_dir}/inventory/catchment_lookup.csv\", dtype={\"ws_id\": str})\n",
    "\n",
    "catchment_ids = {}  # catchment name -> list of rgi_ids\n",
    "for _, row in lookup.iterrows():\n",
    "    if row.ws_id in [\"0035\", \"0041\"]:  # aggregates: sum of sub-catchments\n",
    "        catchment_ids[row.catchment] = row.rgi_ids.split(\";\")\n",
    "    elif row.ws_id in inv.ws_id.values:  # one entity per catchment\n",
    "        catchment_ids[row.catchment] = list(inv.index[inv.ws_id == row.ws_id])\n",
    "print(f\"{len(catchment_ids)} catchments (incl. 2 aggregates)\")\n",
    "print(\"Hálslón:\", catchment_ids[\"Halslon10\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab0e0859",
   "metadata": {},
   "source": [
    "## Load the runs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "50645b9a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:21.157741Z",
     "iopub.status.busy": "2026-10-16T21:19:21.157597Z",
     "iopub.status.idle": "2026-10-16T21:19:21.649477Z",
     "shell.execute_reply": "2026-10-16T21:19:21.648248Z"
    }
   },
   "outputs": [],
   "source": [
    "hist = xr.open_dataset(f\"{data_dir}/historical/hydro_v2/run_output_spinup_historical.nc\")\n",
    "proj = xr.open_dataset(f\"{data_dir}/projections/hydro_v2/merged_2100_projections_cmip6.nc\")\n",
    "\n",
    "# See notebook 01: four runs lose many small glaciers and are excluded here\n",
    "exclude = [\"CESM2-WACCM_ssp126\", \"CESM2-WACCM_ssp534-over\",\n",
    "           \"MRI-ESM2-0_ssp126\", \"MRI-ESM2-0_ssp534-over\"]\n",
    "proj = proj.sel(gcm_scenario=[g for g in proj.gcm_scenario.values if g not in exclude])\n",
    "\n",
    "ssps = [\"ssp126\", \"ssp245\", \"ssp370\", \"ssp585\"]\n",
    "ssp_colors = {\"ssp126\": \"steelblue\", \"ssp245\": \"gold\",\n",
    "              \"ssp370\": \"darkorange\", \"ssp585\": \"firebrick\"}\n",
    "runoff_vars = [\"melt_on_glacier\", \"melt_off_glacier\",\n",
    "               \"liq_prcp_on_glacier\", \"liq_prcp_off_glacier\"]\n",
    "\n",
    "\n",
    "def ssp_runs(da, ssp):\n",
    "    return da.sel(gcm_scenario=[g for g in da.gcm_scenario.values if g.endswith(f\"_{ssp}\")])\n",
    "\n",
    "\n",
    "def catchment_series(ids):\n",
    "    \"\"\"Mass (% of 2020) and smoothed annual runoff (Gt/yr) for a list of entities.\"\"\"\n",
    "    h = hist.sel(rgi_id=ids)\n",
    "    p = proj.sel(rgi_id=ids)\n",
    "    mass_2020 = float(h.mass_kg.sum(\"rgi_id\").sel(time=2020))\n",
    "    runoff = sum(p[v].clip(min=0) for v in runoff_vars).sum(\"rgi_id\") * 1e-12\n",
    "    return {\n",
    "        \"volume_2020\": float(h.volume.sum(\"rgi_id\").sel(time=2020)) * 1e-9,\n",
    "        \"hist_mass_pct\": h.mass_kg.sum(\"rgi_id\") / mass_2020 * 100,\n",
    "        \"mass_pct\": p.mass_kg.sum(\"rgi_id\") / mass_2020 * 100,\n",
    "        \"runoff\": runoff.rolling(time=11, center=True, min_periods=1).mean(),\n",
    "    }"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d850ae90",
   "metadata": {},
   "source": [
    "## Summary table for all catchments\n",
    "\n",
    "Median across GCMs. \"Peak water\" is the year of maximum 11-yr smoothed runoff.\n",
    "For small catchments the GCM spread is large: use the full time series (next\n",
    "section) rather than single numbers when possible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e871dc49",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:21.652017Z",
     "iopub.status.busy": "2026-10-16T21:19:21.651598Z",
     "iopub.status.idle": "2026-10-16T21:19:24.168966Z",
     "shell.execute_reply": "2026-10-16T21:19:24.168063Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Ice cap</th>\n",
       "      <th>Area 2025 (km²)</th>\n",
       "      <th>Volume 2020 (km³)</th>\n",
       "      <th>Mass 2050 ssp245 (%)</th>\n",
       "      <th>Mass 2100 ssp245 (%)</th>\n",
       "      <th>Peak water ssp245</th>\n",
       "      <th>Mass 2050 ssp585 (%)</th>\n",
       "      <th>Mass 2100 ssp585 (%)</th>\n",
       "      <th>Peak water ssp585</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Catchment</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Tharalatursos</th>\n",
       "      <td>Drangajökull</td>\n",
       "      <td>6.6</td>\n",
       "      <td>0.5</td>\n",
       "      <td>32.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2029.5</td>\n",
       "      <td>18.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2039.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bjarnafjardara</th>\n",
       "      <td>Drangajökull</td>\n",
       "      <td>16.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>39.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>2041.0</td>\n",
       "      <td>25.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2042.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Reykjafjardaros</th>\n",
       "      <td>Drangajökull</td>\n",
       "      <td>18.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>46.6</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2038.0</td>\n",
       "      <td>33.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2048.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sela</th>\n",
       "      <td>Drangajökull</td>\n",
       "      <td>25.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>70.4</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2058.0</td>\n",
       "      <td>63.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2056.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jokulsa_i_leirufirdi</th>\n",
       "      <td>Drangajökull</td>\n",
       "      <td>26.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>65.7</td>\n",
       "      <td>1.2</td>\n",
       "      <td>2050.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2056.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Morilla</th>\n",
       "      <td>Drangajökull</td>\n",
       "      <td>33.9</td>\n",
       "      <td>4.5</td>\n",
       "      <td>65.3</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2050.0</td>\n",
       "      <td>58.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2056.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_e</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>35.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2040.0</td>\n",
       "      <td>28.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2042.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_b</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>46.8</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2040.5</td>\n",
       "      <td>40.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2044.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_c</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>65.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>2053.5</td>\n",
       "      <td>59.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2054.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_d</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.9</td>\n",
       "      <td>59.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2050.0</td>\n",
       "      <td>53.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2052.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_g</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>25.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>74.7</td>\n",
       "      <td>19.8</td>\n",
       "      <td>2065.0</td>\n",
       "      <td>69.9</td>\n",
       "      <td>0.6</td>\n",
       "      <td>2069.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_r</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>45.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>68.5</td>\n",
       "      <td>17.6</td>\n",
       "      <td>2052.5</td>\n",
       "      <td>64.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_f</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>50.3</td>\n",
       "      <td>12.8</td>\n",
       "      <td>85.5</td>\n",
       "      <td>30.5</td>\n",
       "      <td>2079.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2071.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_q</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>56.6</td>\n",
       "      <td>13.8</td>\n",
       "      <td>74.4</td>\n",
       "      <td>26.0</td>\n",
       "      <td>2061.5</td>\n",
       "      <td>69.4</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2060.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_s</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>106.1</td>\n",
       "      <td>24.3</td>\n",
       "      <td>78.3</td>\n",
       "      <td>36.7</td>\n",
       "      <td>2057.0</td>\n",
       "      <td>73.5</td>\n",
       "      <td>18.6</td>\n",
       "      <td>2055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_a</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>164.0</td>\n",
       "      <td>32.5</td>\n",
       "      <td>81.0</td>\n",
       "      <td>42.5</td>\n",
       "      <td>2058.5</td>\n",
       "      <td>75.2</td>\n",
       "      <td>21.5</td>\n",
       "      <td>2053.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hofsjökull-vatnasvið-2008-sv_p</th>\n",
       "      <td>Hofsjökull</td>\n",
       "      <td>179.3</td>\n",
       "      <td>38.3</td>\n",
       "      <td>62.5</td>\n",
       "      <td>19.0</td>\n",
       "      <td>2049.0</td>\n",
       "      <td>55.6</td>\n",
       "      <td>4.2</td>\n",
       "      <td>2051.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Blanda</th>\n",
       "      <td>Langjökull</td>\n",
       "      <td>11.8</td>\n",
       "      <td>1.3</td>\n",
       "      <td>41.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2045.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2045.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hagavatn</th>\n",
       "      <td>Langjökull</td>\n",
       "      <td>125.1</td>\n",
       "      <td>33.6</td>\n",
       "      <td>73.8</td>\n",
       "      <td>29.1</td>\n",
       "      <td>2052.5</td>\n",
       "      <td>69.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2052.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Þingvallavatn_2</th>\n",
       "      <td>Langjökull</td>\n",
       "      <td>125.5</td>\n",
       "      <td>29.9</td>\n",
       "      <td>71.7</td>\n",
       "      <td>16.8</td>\n",
       "      <td>2055.5</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hvíta_Borgarfirði</th>\n",
       "      <td>Langjökull</td>\n",
       "      <td>275.1</td>\n",
       "      <td>53.5</td>\n",
       "      <td>63.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2053.0</td>\n",
       "      <td>56.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2053.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hvítá</th>\n",
       "      <td>Langjökull</td>\n",
       "      <td>276.7</td>\n",
       "      <td>69.3</td>\n",
       "      <td>70.6</td>\n",
       "      <td>12.5</td>\n",
       "      <td>2057.5</td>\n",
       "      <td>65.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2062.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Krossá</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>21.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>70.8</td>\n",
       "      <td>37.1</td>\n",
       "      <td>2029.5</td>\n",
       "      <td>66.1</td>\n",
       "      <td>12.1</td>\n",
       "      <td>2036.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Klifandi_Mýrdalur</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>35.9</td>\n",
       "      <td>3.9</td>\n",
       "      <td>51.2</td>\n",
       "      <td>22.0</td>\n",
       "      <td>2026.5</td>\n",
       "      <td>45.1</td>\n",
       "      <td>2.7</td>\n",
       "      <td>2027.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bláfjallakvísl_Bláfellsá_Jökulkvísl</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>36.0</td>\n",
       "      <td>9.8</td>\n",
       "      <td>67.7</td>\n",
       "      <td>29.8</td>\n",
       "      <td>2033.5</td>\n",
       "      <td>62.9</td>\n",
       "      <td>14.6</td>\n",
       "      <td>2046.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hólmsá</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>46.1</td>\n",
       "      <td>10.0</td>\n",
       "      <td>49.4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2029.5</td>\n",
       "      <td>46.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2043.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Leirá</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>53.4</td>\n",
       "      <td>8.9</td>\n",
       "      <td>55.0</td>\n",
       "      <td>33.4</td>\n",
       "      <td>2028.5</td>\n",
       "      <td>49.3</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2032.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skóga_og_Sólheimasandar</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>64.2</td>\n",
       "      <td>14.9</td>\n",
       "      <td>73.9</td>\n",
       "      <td>44.3</td>\n",
       "      <td>2031.5</td>\n",
       "      <td>71.0</td>\n",
       "      <td>16.5</td>\n",
       "      <td>2064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Markarfljót_án_Krossár</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>113.7</td>\n",
       "      <td>26.8</td>\n",
       "      <td>69.0</td>\n",
       "      <td>33.8</td>\n",
       "      <td>2031.0</td>\n",
       "      <td>66.5</td>\n",
       "      <td>17.8</td>\n",
       "      <td>2043.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mýrdalssandur</th>\n",
       "      <td>Mýrdalsjökull</td>\n",
       "      <td>138.2</td>\n",
       "      <td>41.4</td>\n",
       "      <td>78.4</td>\n",
       "      <td>55.7</td>\n",
       "      <td>2033.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>36.7</td>\n",
       "      <td>2050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v_skaftarketill</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>25.0</td>\n",
       "      <td>6.2</td>\n",
       "      <td>86.2</td>\n",
       "      <td>33.3</td>\n",
       "      <td>2089.0</td>\n",
       "      <td>81.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2079.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brunná</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>28.6</td>\n",
       "      <td>10.3</td>\n",
       "      <td>55.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2056.5</td>\n",
       "      <td>48.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2052.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kverka</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>32.4</td>\n",
       "      <td>8.7</td>\n",
       "      <td>36.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2036.0</td>\n",
       "      <td>32.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2038.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skyndidalsá_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>33.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>53.5</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2036.0</td>\n",
       "      <td>48.8</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2043.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sylgja</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>37.4</td>\n",
       "      <td>7.7</td>\n",
       "      <td>57.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>2045.5</td>\n",
       "      <td>48.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2051.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>e_skaftarketill</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>39.3</td>\n",
       "      <td>8.2</td>\n",
       "      <td>88.1</td>\n",
       "      <td>42.5</td>\n",
       "      <td>2087.0</td>\n",
       "      <td>83.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>2077.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jokulkvisl</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>40.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>79.4</td>\n",
       "      <td>20.3</td>\n",
       "      <td>2068.5</td>\n",
       "      <td>75.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2071.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Djúpá</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>69.8</td>\n",
       "      <td>18.0</td>\n",
       "      <td>64.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2053.0</td>\n",
       "      <td>57.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2052.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jökulsá_í_lóni_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>93.2</td>\n",
       "      <td>14.5</td>\n",
       "      <td>55.1</td>\n",
       "      <td>10.5</td>\n",
       "      <td>2040.5</td>\n",
       "      <td>50.3</td>\n",
       "      <td>0.9</td>\n",
       "      <td>2044.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Öræfajökull_vatnaskila_butar</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>93.9</td>\n",
       "      <td>22.7</td>\n",
       "      <td>79.6</td>\n",
       "      <td>51.3</td>\n",
       "      <td>2059.0</td>\n",
       "      <td>75.3</td>\n",
       "      <td>9.9</td>\n",
       "      <td>2074.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skjalfandfljot_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>98.8</td>\n",
       "      <td>14.9</td>\n",
       "      <td>84.1</td>\n",
       "      <td>37.5</td>\n",
       "      <td>2067.0</td>\n",
       "      <td>79.7</td>\n",
       "      <td>12.2</td>\n",
       "      <td>2070.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tungnaa</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>101.5</td>\n",
       "      <td>31.8</td>\n",
       "      <td>67.6</td>\n",
       "      <td>11.4</td>\n",
       "      <td>2047.5</td>\n",
       "      <td>61.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2051.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jokfljotsdvsk</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>121.6</td>\n",
       "      <td>25.6</td>\n",
       "      <td>79.9</td>\n",
       "      <td>24.5</td>\n",
       "      <td>2057.5</td>\n",
       "      <td>76.3</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2067.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hólmsá</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>156.9</td>\n",
       "      <td>45.9</td>\n",
       "      <td>78.1</td>\n",
       "      <td>45.4</td>\n",
       "      <td>2046.5</td>\n",
       "      <td>73.5</td>\n",
       "      <td>22.9</td>\n",
       "      <td>2052.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>grimsvotn_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>173.2</td>\n",
       "      <td>37.2</td>\n",
       "      <td>106.9</td>\n",
       "      <td>111.6</td>\n",
       "      <td>2077.5</td>\n",
       "      <td>104.3</td>\n",
       "      <td>49.4</td>\n",
       "      <td>2086.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Heinabergsvötn_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>221.2</td>\n",
       "      <td>66.5</td>\n",
       "      <td>77.2</td>\n",
       "      <td>39.1</td>\n",
       "      <td>2053.5</td>\n",
       "      <td>72.9</td>\n",
       "      <td>16.6</td>\n",
       "      <td>2055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Breiðá_Fjallsá_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>225.4</td>\n",
       "      <td>58.4</td>\n",
       "      <td>69.1</td>\n",
       "      <td>53.2</td>\n",
       "      <td>2028.0</td>\n",
       "      <td>67.4</td>\n",
       "      <td>33.7</td>\n",
       "      <td>2032.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hornafjardarfljót_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>228.4</td>\n",
       "      <td>67.8</td>\n",
       "      <td>77.3</td>\n",
       "      <td>38.8</td>\n",
       "      <td>2047.5</td>\n",
       "      <td>72.2</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2074.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Súla_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>248.7</td>\n",
       "      <td>92.3</td>\n",
       "      <td>76.9</td>\n",
       "      <td>26.4</td>\n",
       "      <td>2067.0</td>\n",
       "      <td>73.8</td>\n",
       "      <td>9.5</td>\n",
       "      <td>2062.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kreppa</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>286.6</td>\n",
       "      <td>87.1</td>\n",
       "      <td>91.6</td>\n",
       "      <td>69.5</td>\n",
       "      <td>2092.5</td>\n",
       "      <td>89.3</td>\n",
       "      <td>46.6</td>\n",
       "      <td>2090.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hverfisfljot_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>303.6</td>\n",
       "      <td>131.5</td>\n",
       "      <td>88.3</td>\n",
       "      <td>54.1</td>\n",
       "      <td>2086.5</td>\n",
       "      <td>85.2</td>\n",
       "      <td>24.5</td>\n",
       "      <td>2087.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jokulsa</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>339.1</td>\n",
       "      <td>111.1</td>\n",
       "      <td>88.0</td>\n",
       "      <td>50.8</td>\n",
       "      <td>2083.0</td>\n",
       "      <td>84.9</td>\n",
       "      <td>19.2</td>\n",
       "      <td>2083.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kaldakvisl</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>347.4</td>\n",
       "      <td>105.1</td>\n",
       "      <td>85.3</td>\n",
       "      <td>48.0</td>\n",
       "      <td>2068.5</td>\n",
       "      <td>81.8</td>\n",
       "      <td>26.1</td>\n",
       "      <td>2076.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>illakv</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>358.1</td>\n",
       "      <td>122.7</td>\n",
       "      <td>93.2</td>\n",
       "      <td>66.9</td>\n",
       "      <td>2090.5</td>\n",
       "      <td>90.8</td>\n",
       "      <td>39.1</td>\n",
       "      <td>2090.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skafta</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>375.3</td>\n",
       "      <td>154.6</td>\n",
       "      <td>81.8</td>\n",
       "      <td>51.8</td>\n",
       "      <td>2054.0</td>\n",
       "      <td>78.3</td>\n",
       "      <td>31.3</td>\n",
       "      <td>2076.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kring</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>443.6</td>\n",
       "      <td>163.1</td>\n",
       "      <td>94.3</td>\n",
       "      <td>77.4</td>\n",
       "      <td>2084.5</td>\n",
       "      <td>92.1</td>\n",
       "      <td>55.3</td>\n",
       "      <td>2093.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Jokulsa_a_Breidam_sandi_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>719.1</td>\n",
       "      <td>292.4</td>\n",
       "      <td>81.5</td>\n",
       "      <td>56.5</td>\n",
       "      <td>2049.0</td>\n",
       "      <td>78.7</td>\n",
       "      <td>38.6</td>\n",
       "      <td>2063.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jokulsa_a_fjollum_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>1115.9</td>\n",
       "      <td>452.4</td>\n",
       "      <td>92.2</td>\n",
       "      <td>69.8</td>\n",
       "      <td>2090.5</td>\n",
       "      <td>90.2</td>\n",
       "      <td>44.4</td>\n",
       "      <td>2087.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Skeiðará_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>1133.8</td>\n",
       "      <td>521.4</td>\n",
       "      <td>87.1</td>\n",
       "      <td>62.2</td>\n",
       "      <td>2067.5</td>\n",
       "      <td>84.5</td>\n",
       "      <td>44.1</td>\n",
       "      <td>2071.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Halslon10</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>1181.0</td>\n",
       "      <td>408.0</td>\n",
       "      <td>91.9</td>\n",
       "      <td>65.8</td>\n",
       "      <td>2091.0</td>\n",
       "      <td>89.3</td>\n",
       "      <td>39.1</td>\n",
       "      <td>2083.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           Ice cap  Area 2025 (km²)  \\\n",
       "Catchment                                                             \n",
       "Tharalatursos                         Drangajökull              6.6   \n",
       "Bjarnafjardara                        Drangajökull             16.2   \n",
       "Reykjafjardaros                       Drangajökull             18.0   \n",
       "Sela                                  Drangajökull             25.4   \n",
       "Jokulsa_i_leirufirdi                  Drangajökull             26.4   \n",
       "Morilla                               Drangajökull             33.9   \n",
       "Hofsjökull-vatnasvið-2008-sv_e          Hofsjökull              0.7   \n",
       "Hofsjökull-vatnasvið-2008-sv_b          Hofsjökull              2.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_c          Hofsjökull              4.1   \n",
       "Hofsjökull-vatnasvið-2008-sv_d          Hofsjökull              5.9   \n",
       "Hofsjökull-vatnasvið-2008-sv_g          Hofsjökull             25.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_r          Hofsjökull             45.4   \n",
       "Hofsjökull-vatnasvið-2008-sv_f          Hofsjökull             50.3   \n",
       "Hofsjökull-vatnasvið-2008-sv_q          Hofsjökull             56.6   \n",
       "Hofsjökull-vatnasvið-2008-sv_s          Hofsjökull            106.1   \n",
       "Hofsjökull-vatnasvið-2008-sv_a          Hofsjökull            164.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_p          Hofsjökull            179.3   \n",
       "Blanda                                  Langjökull             11.8   \n",
       "Hagavatn                                Langjökull            125.1   \n",
       "Þingvallavatn_2                         Langjökull            125.5   \n",
       "Hvíta_Borgarfirði                       Langjökull            275.1   \n",
       "Hvítá                                   Langjökull            276.7   \n",
       "Krossá                               Mýrdalsjökull             21.9   \n",
       "Klifandi_Mýrdalur                    Mýrdalsjökull             35.9   \n",
       "Bláfjallakvísl_Bláfellsá_Jökulkvísl  Mýrdalsjökull             36.0   \n",
       "Hólmsá                               Mýrdalsjökull             46.1   \n",
       "Leirá                                Mýrdalsjökull             53.4   \n",
       "Skóga_og_Sólheimasandar              Mýrdalsjökull             64.2   \n",
       "Markarfljót_án_Krossár               Mýrdalsjökull            113.7   \n",
       "Mýrdalssandur                        Mýrdalsjökull            138.2   \n",
       "v_skaftarketill                        Vatnajökull             25.0   \n",
       "Brunná                                 Vatnajökull             28.6   \n",
       "kverka                                 Vatnajökull             32.4   \n",
       "skyndidalsá_                           Vatnajökull             33.6   \n",
       "sylgja                                 Vatnajökull             37.4   \n",
       "e_skaftarketill                        Vatnajökull             39.3   \n",
       "jokulkvisl                             Vatnajökull             40.1   \n",
       "Djúpá                                  Vatnajökull             69.8   \n",
       "Jökulsá_í_lóni_                        Vatnajökull             93.2   \n",
       "Öræfajökull_vatnaskila_butar           Vatnajökull             93.9   \n",
       "skjalfandfljot_                        Vatnajökull             98.8   \n",
       "tungnaa                                Vatnajökull            101.5   \n",
       "Jokfljotsdvsk                          Vatnajökull            121.6   \n",
       "hólmsá                                 Vatnajökull            156.9   \n",
       "grimsvotn_                             Vatnajökull            173.2   \n",
       "Heinabergsvötn_                        Vatnajökull            221.2   \n",
       "Breiðá_Fjallsá_                        Vatnajökull            225.4   \n",
       "Hornafjardarfljót_                     Vatnajökull            228.4   \n",
       "Súla_                                  Vatnajökull            248.7   \n",
       "Kreppa                                 Vatnajökull            286.6   \n",
       "Hverfisfljot_                          Vatnajökull            303.6   \n",
       "jokulsa                                Vatnajökull            339.1   \n",
       "kaldakvisl                             Vatnajökull            347.4   \n",
       "illakv                                 Vatnajökull            358.1   \n",
       "skafta                                 Vatnajökull            375.3   \n",
       "Kring                                  Vatnajökull            443.6   \n",
       "Jokulsa_a_Breidam_sandi_               Vatnajökull            719.1   \n",
       "jokulsa_a_fjollum_                     Vatnajökull           1115.9   \n",
       "Skeiðará_                              Vatnajökull           1133.8   \n",
       "Halslon10                              Vatnajökull           1181.0   \n",
       "\n",
       "                                     Volume 2020 (km³)  Mass 2050 ssp245 (%)  \\\n",
       "Catchment                                                                      \n",
       "Tharalatursos                                      0.5                  32.4   \n",
       "Bjarnafjardara                                     1.4                  39.3   \n",
       "Reykjafjardaros                                    1.8                  46.6   \n",
       "Sela                                               3.0                  70.4   \n",
       "Jokulsa_i_leirufirdi                               3.0                  65.7   \n",
       "Morilla                                            4.5                  65.3   \n",
       "Hofsjökull-vatnasvið-2008-sv_e                     0.1                  35.8   \n",
       "Hofsjökull-vatnasvið-2008-sv_b                     0.3                  46.8   \n",
       "Hofsjökull-vatnasvið-2008-sv_c                     0.7                  65.6   \n",
       "Hofsjökull-vatnasvið-2008-sv_d                     0.9                  59.2   \n",
       "Hofsjökull-vatnasvið-2008-sv_g                     5.2                  74.7   \n",
       "Hofsjökull-vatnasvið-2008-sv_r                     9.0                  68.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_f                    12.8                  85.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_q                    13.8                  74.4   \n",
       "Hofsjökull-vatnasvið-2008-sv_s                    24.3                  78.3   \n",
       "Hofsjökull-vatnasvið-2008-sv_a                    32.5                  81.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_p                    38.3                  62.5   \n",
       "Blanda                                             1.3                  41.2   \n",
       "Hagavatn                                          33.6                  73.8   \n",
       "Þingvallavatn_2                                   29.9                  71.7   \n",
       "Hvíta_Borgarfirði                                 53.5                  63.2   \n",
       "Hvítá                                             69.3                  70.6   \n",
       "Krossá                                             3.1                  70.8   \n",
       "Klifandi_Mýrdalur                                  3.9                  51.2   \n",
       "Bláfjallakvísl_Bláfellsá_Jökulkvísl                9.8                  67.7   \n",
       "Hólmsá                                            10.0                  49.4   \n",
       "Leirá                                              8.9                  55.0   \n",
       "Skóga_og_Sólheimasandar                           14.9                  73.9   \n",
       "Markarfljót_án_Krossár                            26.8                  69.0   \n",
       "Mýrdalssandur                                     41.4                  78.4   \n",
       "v_skaftarketill                                    6.2                  86.2   \n",
       "Brunná                                            10.3                  55.0   \n",
       "kverka                                             8.7                  36.2   \n",
       "skyndidalsá_                                       5.6                  53.5   \n",
       "sylgja                                             7.7                  57.1   \n",
       "e_skaftarketill                                    8.2                  88.1   \n",
       "jokulkvisl                                        11.1                  79.4   \n",
       "Djúpá                                             18.0                  64.3   \n",
       "Jökulsá_í_lóni_                                   14.5                  55.1   \n",
       "Öræfajökull_vatnaskila_butar                      22.7                  79.6   \n",
       "skjalfandfljot_                                   14.9                  84.1   \n",
       "tungnaa                                           31.8                  67.6   \n",
       "Jokfljotsdvsk                                     25.6                  79.9   \n",
       "hólmsá                                            45.9                  78.1   \n",
       "grimsvotn_                                        37.2                 106.9   \n",
       "Heinabergsvötn_                                   66.5                  77.2   \n",
       "Breiðá_Fjallsá_                                   58.4                  69.1   \n",
       "Hornafjardarfljót_                                67.8                  77.3   \n",
       "Súla_                                             92.3                  76.9   \n",
       "Kreppa                                            87.1                  91.6   \n",
       "Hverfisfljot_                                    131.5                  88.3   \n",
       "jokulsa                                          111.1                  88.0   \n",
       "kaldakvisl                                       105.1                  85.3   \n",
       "illakv                                           122.7                  93.2   \n",
       "skafta                                           154.6                  81.8   \n",
       "Kring                                            163.1                  94.3   \n",
       "Jokulsa_a_Breidam_sandi_                         292.4                  81.5   \n",
       "jokulsa_a_fjollum_                               452.4                  92.2   \n",
       "Skeiðará_                                        521.4                  87.1   \n",
       "Halslon10                                        408.0                  91.9   \n",
       "\n",
       "                                     Mass 2100 ssp245 (%)  Peak water ssp245  \\\n",
       "Catchment                                                                      \n",
       "Tharalatursos                                         0.0             2029.5   \n",
       "Bjarnafjardara                                        0.4             2041.0   \n",
       "Reykjafjardaros                                       0.8             2038.0   \n",
       "Sela                                                  6.6             2058.0   \n",
       "Jokulsa_i_leirufirdi                                  1.2             2050.0   \n",
       "Morilla                                               5.9             2050.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_e                        0.0             2040.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_b                        0.5             2040.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_c                        3.6             2053.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_d                        0.3             2050.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_g                       19.8             2065.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_r                       17.6             2052.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_f                       30.5             2079.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_q                       26.0             2061.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_s                       36.7             2057.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_a                       42.5             2058.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_p                       19.0             2049.0   \n",
       "Blanda                                                0.0             2045.0   \n",
       "Hagavatn                                             29.1             2052.5   \n",
       "Þingvallavatn_2                                      16.8             2055.5   \n",
       "Hvíta_Borgarfirði                                     3.0             2053.0   \n",
       "Hvítá                                                12.5             2057.5   \n",
       "Krossá                                               37.1             2029.5   \n",
       "Klifandi_Mýrdalur                                    22.0             2026.5   \n",
       "Bláfjallakvísl_Bláfellsá_Jökulkvísl                  29.8             2033.5   \n",
       "Hólmsá                                                4.6             2029.5   \n",
       "Leirá                                                33.4             2028.5   \n",
       "Skóga_og_Sólheimasandar                              44.3             2031.5   \n",
       "Markarfljót_án_Krossár                               33.8             2031.0   \n",
       "Mýrdalssandur                                        55.7             2033.0   \n",
       "v_skaftarketill                                      33.3             2089.0   \n",
       "Brunná                                                0.0             2056.5   \n",
       "kverka                                                0.0             2036.0   \n",
       "skyndidalsá_                                         15.2             2036.0   \n",
       "sylgja                                                0.1             2045.5   \n",
       "e_skaftarketill                                      42.5             2087.0   \n",
       "jokulkvisl                                           20.3             2068.5   \n",
       "Djúpá                                                 3.0             2053.0   \n",
       "Jökulsá_í_lóni_                                      10.5             2040.5   \n",
       "Öræfajökull_vatnaskila_butar                         51.3             2059.0   \n",
       "skjalfandfljot_                                      37.5             2067.0   \n",
       "tungnaa                                              11.4             2047.5   \n",
       "Jokfljotsdvsk                                        24.5             2057.5   \n",
       "hólmsá                                               45.4             2046.5   \n",
       "grimsvotn_                                          111.6             2077.5   \n",
       "Heinabergsvötn_                                      39.1             2053.5   \n",
       "Breiðá_Fjallsá_                                      53.2             2028.0   \n",
       "Hornafjardarfljót_                                   38.8             2047.5   \n",
       "Súla_                                                26.4             2067.0   \n",
       "Kreppa                                               69.5             2092.5   \n",
       "Hverfisfljot_                                        54.1             2086.5   \n",
       "jokulsa                                              50.8             2083.0   \n",
       "kaldakvisl                                           48.0             2068.5   \n",
       "illakv                                               66.9             2090.5   \n",
       "skafta                                               51.8             2054.0   \n",
       "Kring                                                77.4             2084.5   \n",
       "Jokulsa_a_Breidam_sandi_                             56.5             2049.0   \n",
       "jokulsa_a_fjollum_                                   69.8             2090.5   \n",
       "Skeiðará_                                            62.2             2067.5   \n",
       "Halslon10                                            65.8             2091.0   \n",
       "\n",
       "                                     Mass 2050 ssp585 (%)  \\\n",
       "Catchment                                                   \n",
       "Tharalatursos                                        18.7   \n",
       "Bjarnafjardara                                       25.3   \n",
       "Reykjafjardaros                                      33.9   \n",
       "Sela                                                 63.2   \n",
       "Jokulsa_i_leirufirdi                                 57.0   \n",
       "Morilla                                              58.2   \n",
       "Hofsjökull-vatnasvið-2008-sv_e                       28.8   \n",
       "Hofsjökull-vatnasvið-2008-sv_b                       40.6   \n",
       "Hofsjökull-vatnasvið-2008-sv_c                       59.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_d                       53.3   \n",
       "Hofsjökull-vatnasvið-2008-sv_g                       69.9   \n",
       "Hofsjökull-vatnasvið-2008-sv_r                       64.1   \n",
       "Hofsjökull-vatnasvið-2008-sv_f                       79.0   \n",
       "Hofsjökull-vatnasvið-2008-sv_q                       69.4   \n",
       "Hofsjökull-vatnasvið-2008-sv_s                       73.5   \n",
       "Hofsjökull-vatnasvið-2008-sv_a                       75.2   \n",
       "Hofsjökull-vatnasvið-2008-sv_p                       55.6   \n",
       "Blanda                                               32.0   \n",
       "Hagavatn                                             69.0   \n",
       "Þingvallavatn_2                                      66.0   \n",
       "Hvíta_Borgarfirði                                    56.9   \n",
       "Hvítá                                                65.8   \n",
       "Krossá                                               66.1   \n",
       "Klifandi_Mýrdalur                                    45.1   \n",
       "Bláfjallakvísl_Bláfellsá_Jökulkvísl                  62.9   \n",
       "Hólmsá                                               46.6   \n",
       "Leirá                                                49.3   \n",
       "Skóga_og_Sólheimasandar                              71.0   \n",
       "Markarfljót_án_Krossár                               66.5   \n",
       "Mýrdalssandur                                        75.0   \n",
       "v_skaftarketill                                      81.5   \n",
       "Brunná                                               48.8   \n",
       "kverka                                               32.4   \n",
       "skyndidalsá_                                         48.8   \n",
       "sylgja                                               48.9   \n",
       "e_skaftarketill                                      83.5   \n",
       "jokulkvisl                                           75.3   \n",
       "Djúpá                                                57.7   \n",
       "Jökulsá_í_lóni_                                      50.3   \n",
       "Öræfajökull_vatnaskila_butar                         75.3   \n",
       "skjalfandfljot_                                      79.7   \n",
       "tungnaa                                              61.6   \n",
       "Jokfljotsdvsk                                        76.3   \n",
       "hólmsá                                               73.5   \n",
       "grimsvotn_                                          104.3   \n",
       "Heinabergsvötn_                                      72.9   \n",
       "Breiðá_Fjallsá_                                      67.4   \n",
       "Hornafjardarfljót_                                   72.2   \n",
       "Súla_                                                73.8   \n",
       "Kreppa                                               89.3   \n",
       "Hverfisfljot_                                        85.2   \n",
       "jokulsa                                              84.9   \n",
       "kaldakvisl                                           81.8   \n",
       "illakv                                               90.8   \n",
       "skafta                                               78.3   \n",
       "Kring                                                92.1   \n",
       "Jokulsa_a_Breidam_sandi_                             78.7   \n",
       "jokulsa_a_fjollum_                                   90.2   \n",
       "Skeiðará_                                            84.5   \n",
       "Halslon10                                            89.3   \n",
       "\n",
       "                                     Mass 2100 ssp585 (%)  Peak water ssp585  \n",
       "Catchment                                                                     \n",
       "Tharalatursos                                         0.0             2039.0  \n",
       "Bjarnafjardara                                        0.0             2042.0  \n",
       "Reykjafjardaros                                       0.0             2048.0  \n",
       "Sela                                                  0.0             2056.0  \n",
       "Jokulsa_i_leirufirdi                                  0.0             2056.0  \n",
       "Morilla                                               0.0             2056.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_e                        0.0             2042.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_b                        0.0             2044.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_c                        0.0             2054.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_d                        0.0             2052.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_g                        0.6             2069.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_r                        4.7             2055.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_f                        4.9             2071.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_q                        6.7             2060.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_s                       18.6             2055.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_a                       21.5             2053.0  \n",
       "Hofsjökull-vatnasvið-2008-sv_p                        4.2             2051.0  \n",
       "Blanda                                                0.0             2045.0  \n",
       "Hagavatn                                              5.9             2052.0  \n",
       "Þingvallavatn_2                                       0.0             2055.0  \n",
       "Hvíta_Borgarfirði                                     0.0             2053.0  \n",
       "Hvítá                                                 0.2             2062.0  \n",
       "Krossá                                               12.1             2036.0  \n",
       "Klifandi_Mýrdalur                                     2.7             2027.0  \n",
       "Bláfjallakvísl_Bláfellsá_Jökulkvísl                  14.6             2046.0  \n",
       "Hólmsá                                                0.1             2043.0  \n",
       "Leirá                                                 6.9             2032.0  \n",
       "Skóga_og_Sólheimasandar                              16.5             2064.0  \n",
       "Markarfljót_án_Krossár                               17.8             2043.0  \n",
       "Mýrdalssandur                                        36.7             2050.0  \n",
       "v_skaftarketill                                       0.0             2079.0  \n",
       "Brunná                                                0.0             2052.0  \n",
       "kverka                                                0.0             2038.0  \n",
       "skyndidalsá_                                          1.4             2043.0  \n",
       "sylgja                                                0.0             2051.0  \n",
       "e_skaftarketill                                       0.4             2077.0  \n",
       "jokulkvisl                                            0.0             2071.0  \n",
       "Djúpá                                                 0.0             2052.0  \n",
       "Jökulsá_í_lóni_                                       0.9             2044.0  \n",
       "Öræfajökull_vatnaskila_butar                          9.9             2074.0  \n",
       "skjalfandfljot_                                      12.2             2070.0  \n",
       "tungnaa                                               0.0             2051.0  \n",
       "Jokfljotsdvsk                                         0.8             2067.0  \n",
       "hólmsá                                               22.9             2052.0  \n",
       "grimsvotn_                                           49.4             2086.0  \n",
       "Heinabergsvötn_                                      16.6             2055.0  \n",
       "Breiðá_Fjallsá_                                      33.7             2032.0  \n",
       "Hornafjardarfljót_                                    5.4             2074.0  \n",
       "Súla_                                                 9.5             2062.0  \n",
       "Kreppa                                               46.6             2090.0  \n",
       "Hverfisfljot_                                        24.5             2087.0  \n",
       "jokulsa                                              19.2             2083.0  \n",
       "kaldakvisl                                           26.1             2076.0  \n",
       "illakv                                               39.1             2090.0  \n",
       "skafta                                               31.3             2076.0  \n",
       "Kring                                                55.3             2093.0  \n",
       "Jokulsa_a_Breidam_sandi_                             38.6             2063.0  \n",
       "jokulsa_a_fjollum_                                   44.4             2087.0  \n",
       "Skeiðará_                                            44.1             2071.0  \n",
       "Halslon10                                            39.1             2083.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rows = []\n",
    "for name, ids in catchment_ids.items():\n",
    "    s = catchment_series(ids)\n",
    "    row = {\n",
    "        \"Catchment\": name,\n",
    "        \"Ice cap\": inv.loc[ids[0], \"icecap\"],\n",
    "        \"Area 2025 (km²)\": inv.loc[ids, \"area_km2\"].sum(),\n",
    "        \"Volume 2020 (km³)\": s[\"volume_2020\"],\n",
    "    }\n",
    "    for ssp in [\"ssp245\", \"ssp585\"]:\n",
    "        mass = ssp_runs(s[\"mass_pct\"], ssp)\n",
    "        ro = ssp_runs(s[\"runoff\"], ssp)\n",
    "        row[f\"Mass 2050 {ssp} (%)\"] = float(mass.sel(time=2050).median())\n",
    "        row[f\"Mass 2100 {ssp} (%)\"] = float(mass.sel(time=2100).median())\n",
    "        row[f\"Peak water {ssp}\"] = float(ro.idxmax(\"time\").median())\n",
    "    rows.append(row)\n",
    "\n",
    "summary = pd.DataFrame(rows).set_index(\"Catchment\").sort_values([\"Ice cap\", \"Area 2025 (km²)\"])\n",
    "summary.to_csv(f\"{table_dir}/catchment_summary.csv\")\n",
    "summary.round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08881120",
   "metadata": {},
   "source": [
    "The table is also saved as `tables/catchment_summary.csv`.\n",
    "\n",
    "### Caveat: catchments in the accumulation area\n",
    "\n",
    "OGGM treats each catchment as a glacier with its own flowline. In reality, ice in\n",
    "the interior of an ice cap flows across water divides towards the outlet glaciers.\n",
    "A catchment that lies mostly in the accumulation area therefore has no realistic\n",
    "way to lose its ice in the model, and may even thicken. These catchments stand out\n",
    "in the table: they keep almost all of their mass until 2050, and some gain mass."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8b5b0a48",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:24.171921Z",
     "iopub.status.busy": "2026-10-16T21:19:24.171777Z",
     "iopub.status.idle": "2026-10-16T21:19:24.179651Z",
     "shell.execute_reply": "2026-10-16T21:19:24.178867Z"
    }
   },
   "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>Ice cap</th>\n",
       "      <th>Area 2025 (km²)</th>\n",
       "      <th>Mass 2050 ssp245 (%)</th>\n",
       "      <th>Mass 2100 ssp245 (%)</th>\n",
       "      <th>Peak water ssp245</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Catchment</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>grimsvotn_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>173.2</td>\n",
       "      <td>106.9</td>\n",
       "      <td>111.6</td>\n",
       "      <td>2077.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kreppa</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>286.6</td>\n",
       "      <td>91.6</td>\n",
       "      <td>69.5</td>\n",
       "      <td>2092.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>illakv</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>358.1</td>\n",
       "      <td>93.2</td>\n",
       "      <td>66.9</td>\n",
       "      <td>2090.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kring</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>443.6</td>\n",
       "      <td>94.3</td>\n",
       "      <td>77.4</td>\n",
       "      <td>2084.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>jokulsa_a_fjollum_</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>1115.9</td>\n",
       "      <td>92.2</td>\n",
       "      <td>69.8</td>\n",
       "      <td>2090.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Halslon10</th>\n",
       "      <td>Vatnajökull</td>\n",
       "      <td>1181.0</td>\n",
       "      <td>91.9</td>\n",
       "      <td>65.8</td>\n",
       "      <td>2091.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Ice cap  Area 2025 (km²)  Mass 2050 ssp245 (%)  \\\n",
       "Catchment                                                                \n",
       "grimsvotn_          Vatnajökull            173.2                 106.9   \n",
       "Kreppa              Vatnajökull            286.6                  91.6   \n",
       "illakv              Vatnajökull            358.1                  93.2   \n",
       "Kring               Vatnajökull            443.6                  94.3   \n",
       "jokulsa_a_fjollum_  Vatnajökull           1115.9                  92.2   \n",
       "Halslon10           Vatnajökull           1181.0                  91.9   \n",
       "\n",
       "                    Mass 2100 ssp245 (%)  Peak water ssp245  \n",
       "Catchment                                                    \n",
       "grimsvotn_                         111.6             2077.5  \n",
       "Kreppa                              69.5             2092.5  \n",
       "illakv                              66.9             2090.5  \n",
       "Kring                               77.4             2084.5  \n",
       "jokulsa_a_fjollum_                  69.8             2090.5  \n",
       "Halslon10                           65.8             2091.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interior = summary[summary[\"Mass 2050 ssp245 (%)\"] > 90]\n",
    "interior[[\"Ice cap\", \"Area 2025 (km²)\", \"Mass 2050 ssp245 (%)\",\n",
    "          \"Mass 2100 ssp245 (%)\", \"Peak water ssp245\"]].round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85c922e8",
   "metadata": {},
   "source": [
    "**grimsvotn** is the clearest case: it gains mass throughout the century under\n",
    "ssp245, which is not realistic. The other catchments in this list are the large\n",
    "northern Vatnajökull catchments, including all four that make up Hálslón (below).\n",
    "They extend high into the accumulation area, so a slower mass loss and a late peak\n",
    "water are partly expected, but part of it is likely this artefact, and the runs\n",
    "alone cannot separate the two.\n",
    "\n",
    "For these catchments, treat the mass and peak-water numbers with caution. Their\n",
    "runoff in the coming decades is more robust, because it is driven by the surface\n",
    "melt and rain in the catchment rather than by ice flow."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b8f297b",
   "metadata": {},
   "source": [
    "## Example: Hálslón\n",
    "\n",
    "The Hálslón catchment (Halslon10) is the sum of four model entities. Any other\n",
    "catchment, or any combination of entities, works the same way: replace `ids`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a2abf2c6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:24.182692Z",
     "iopub.status.busy": "2026-10-16T21:19:24.182554Z",
     "iopub.status.idle": "2026-10-16T21:19:24.870162Z",
     "shell.execute_reply": "2026-10-16T21:19:24.869270Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area 1181 km², volume 2020 408 km³\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ids = catchment_ids[\"Halslon10\"]\n",
    "s = catchment_series(ids)\n",
    "print(f\"Area {inv.loc[ids, 'area_km2'].sum():.0f} km², volume 2020 {s['volume_2020']:.0f} km³\")\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n",
    "hs = s[\"hist_mass_pct\"].sel(time=slice(2000, 2026))\n",
    "axes[0].plot(hs.time, hs, color=\"black\", lw=1.5, label=\"Historical (CARRA)\")\n",
    "for ssp in ssps:\n",
    "    for ax, var in zip(axes, [\"mass_pct\", \"runoff\"]):\n",
    "        da = ssp_runs(s[var], ssp)\n",
    "        c = ssp_colors[ssp]\n",
    "        ax.plot(da.time, da.median(\"gcm_scenario\"), color=c,\n",
    "                label=f\"{ssp} (n={da.gcm_scenario.size})\")\n",
    "        ax.fill_between(da.time, da.quantile(0.1, \"gcm_scenario\"),\n",
    "                        da.quantile(0.9, \"gcm_scenario\"), color=c, alpha=0.2, lw=0)\n",
    "axes[0].axhline(100, color=\"gray\", lw=0.7, ls=\":\")\n",
    "axes[0].set_ylabel(\"Mass (% of 2020)\")\n",
    "axes[1].set_ylabel(\"Annual runoff (Gt yr$^{-1}$, 11-yr smoothing)\")\n",
    "for ax in axes:\n",
    "    ax.set_xlabel(\"Year\")\n",
    "    ax.grid(True, alpha=0.3)\n",
    "    ax.legend(fontsize=9)\n",
    "fig.suptitle(\"Hálslón catchment (Kring + illakv + jokulsa + jokulkvisl)\", fontsize=13)\n",
    "plt.tight_layout()\n",
    "fig.savefig(f\"{fig_dir}/halslon_mass_runoff.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60f3978a",
   "metadata": {},
   "source": [
    "### Seasonal cycle of runoff\n",
    "\n",
    "The projection files also store monthly runoff (variables ending in `_monthly`,\n",
    "in kg per month). Here: the mean seasonal cycle of Hálslón runoff for three\n",
    "decades, under ssp245 (median across GCMs). Runoff is converted to an average\n",
    "discharge in m³ s⁻¹."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d75dd2ac",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-16T21:19:24.873751Z",
     "iopub.status.busy": "2026-10-16T21:19:24.873601Z",
     "iopub.status.idle": "2026-10-16T21:19:25.206509Z",
     "shell.execute_reply": "2026-10-16T21:19:25.205388Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ssp = \"ssp245\"\n",
    "p = ssp_runs(proj.sel(rgi_id=ids), ssp)\n",
    "monthly = sum(p[f\"{v}_monthly\"].clip(min=0) for v in runoff_vars).sum(\"rgi_id\")\n",
    "seconds_per_month = 365 * 24 * 3600 / 12  # the model uses a 365-day calendar\n",
    "discharge = monthly / 1000 / seconds_per_month  # kg/month -> m³/s\n",
    "\n",
    "decades = {\"2026-2035\": \"lightsteelblue\", \"2056-2065\": \"steelblue\", \"2091-2100\": \"navy\"}\n",
    "fig, ax = plt.subplots(figsize=(9, 5))\n",
    "for (period, c) in decades.items():\n",
    "    y0, y1 = [int(y) for y in period.split(\"-\")]\n",
    "    cycle = discharge.sel(time=slice(y0, y1)).mean(\"time\").median(\"gcm_scenario\")\n",
    "    ax.plot(p.calendar_month_2d, cycle, color=c, marker=\"o\", label=period)\n",
    "ax.set_xticks(range(1, 13))\n",
    "ax.set_xticklabels([\"J\", \"F\", \"M\", \"A\", \"M\", \"J\", \"J\", \"A\", \"S\", \"O\", \"N\", \"D\"])\n",
    "ax.set_ylabel(\"Mean discharge (m³ s$^{-1}$)\")\n",
    "ax.set_xlabel(\"Month\")\n",
    "ax.grid(True, alpha=0.3)\n",
    "ax.legend()\n",
    "ax.set_title(f\"Hálslón catchment: seasonal cycle of glacier runoff ({ssp}, median)\")\n",
    "plt.tight_layout()\n",
    "fig.savefig(f\"{fig_dir}/halslon_seasonal_cycle.png\", dpi=150, bbox_inches=\"tight\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d134398e",
   "metadata": {},
   "source": [
    "Note: as in the first delivery, runoff is computed over a fixed area (the glacier\n",
    "outline at the start of the projections). It therefore includes rain and snowmelt\n",
    "on terrain that becomes ice-free, but not the rest of the river catchment."
   ]
  }
 ],
 "metadata": {
  "jupytext": {
   "cell_metadata_filter": "-all"
  },
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}