{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Error analysis oggm_v16 preprocessed gdir versions"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**--> most recent version of this notebook now moved to /home/www/oggm/oggm-standard-projections/analysis-notebooks/1.6.3_gdirs_proj_comparisons**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We look into the following combinations/options of preprocessed glacier directories\n",
    "- preprocessed time periods all within oggm_v1.6: `version =  \"2023.3\"` or `version =  \"2025.6\"`\n",
    "- `option = {b_clim}_{init_calib_opt}`\n",
    "    - b_clim:  baseline climate used for calibration: `\"W5E5\"` or `\"ERA5\"`\n",
    "    - init_calib_opt: different initialisation / calibration options : `\"per_glacier\"` (no spinup), `\"per_glacier_spinup\"` (per-glacier spinup), and `\"regional_spinup\"` (regional spinup)\n",
    "- RGI versions:\n",
    "    - `RGI62`, `RGI70G`, `RGI70C`\n",
    " \n",
    "--> we follow the same naming convention as in the new preprocessed 2025.6 glacier directories, e.g.: https://cluster.klima.uni-bremen.de/~oggm/gdirs/oggm_v1.6/L3-L5_files/2025.6/elev_bands/W5E5/per_glacier_spinup/RGI62/b_160/L5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2026-01-06 18:33:17: oggm.cfg: Reading default parameters from the OGGM `params.cfg` configuration file.\n",
      "2026-01-06 18:33:17: oggm.cfg: Multiprocessing switched OFF according to the parameter file.\n",
      "2026-01-06 18:33:17: oggm.cfg: Multiprocessing: using all available processors (N=32)\n"
     ]
    }
   ],
   "source": [
    "from oggm import cfg, workflow, utils, shop\n",
    "import pandas as pd\n",
    "import os, glob\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set_style(\"whitegrid\")\n",
    "\n",
    "cfg.initialize()\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.rcParams['figure.figsize'] = (14, 8)\n",
    "\n",
    "# makes sure that the pandas output columns are not cropped!\n",
    "pd.set_option(\"max_colwidth\", None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "rgi_reg_l = []\n",
    "for rgi_reg in np.arange(1,20,1):\n",
    "    if rgi_reg <10:\n",
    "        rgi_reg = f'0{rgi_reg}'\n",
    "    else:\n",
    "        rgi_reg = f'{rgi_reg}'\n",
    "    rgi_reg_l.append(rgi_reg)\n",
    "rgi_reg_l.append('all')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get the error statistics from the summary files of the preprocessed glacier directories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "opts = ['dynamic melt_f calibration (full success)', 'dynamic melt_f calibration (part success)', 'dynamic spinup only','fixed geometry spinup']\n",
    "opts_w = ['dynamic melt_f calibration (full success)_ratio', 'dynamic melt_f calibration (part success)_ratio', \n",
    "          'dynamic spinup only_ratio','fixed geometry spinup_ratio']\n",
    "\n",
    "columns = ['rgi_reg', 'option','rgiv','version','border', 'perc_area_miss', 'perc_glac_miss'] + opts + opts_w\n",
    "pd_stats_l = []\n",
    "working_rgis_l = []\n",
    "for option in [# 'W5E5_per_glacier', <- only available for border 80, so only complex to compare .. \n",
    "                'W5E5_per_glacier_spinup', 'W5E5_regional_spinup',\n",
    "               #'W5E5_spinup_regional_fac1',\n",
    "               #'W5E5_spinup_regional_fac1_newfile',\n",
    "               'ERA5_per_glacier_spinup']: #  'W5E5','ERA5', -> only has border 080 fpr 2025.6\n",
    "    for version in [ '2023.3', '2025.6']: # '2023.2',\n",
    "        for border in ['b_080', 'b_160']:\n",
    "            for rgiv in ['RGI62', 'RGI70G', 'RGI70C']:\n",
    "                if ('RGI70' in rgiv) and ((option!='W5E5_regional_spinup') or (version!='2025.6') or (border!='b_160')):\n",
    "                    continue\n",
    "                elif (version == '2023.2') and (border == 'b_080'):\n",
    "                    continue\n",
    "                elif (version =='2025.6') and (border == 'b_080') and ('spinup' in option):\n",
    "                    continue\n",
    "                elif (version =='2025.6') and (border == 'b_160') and ('spinup' not in option):\n",
    "                    continue\n",
    "                elif (version == '2023.3') and (('ERA5' in option) or ('W5E5_regional_spinup' in option)):\n",
    "                    continue\n",
    "                else:\n",
    "                    pd_stats = pd.DataFrame(columns=columns, index = rgi_reg_l)\n",
    "                    path = '/home/www/oggm/gdirs/oggm_v1.6/'\n",
    "                    optis = option.split('_')\n",
    "                    opt1 = optis[0]\n",
    "                    opt2 = option[len(opt1)+1:]\n",
    "                    if (version == '2023.3') and (option == 'W5E5_per_glacier_spinup'):\n",
    "                        add = f'L3-L5_files/{version}/elev_bands/W5E5_spinup/{rgiv}/{border}/L5/summary/'\n",
    "                    else:\n",
    "                        add = f'L3-L5_files/{version}/elev_bands/{opt1}/{opt2}/{rgiv}/{border}/L5/summary/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 235,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1449    dynamic melt_f calibration (full success)\n",
      "Name: used_spinup_option, dtype: object\n",
      "L3-L5_files/2023.3/elev_bands/W5E5_spinup/RGI62/b_080/L5/summary/ W5E5_per_glacier_spinup 2023.3 b_080\n",
      "1449    dynamic melt_f calibration (full success)\n",
      "Name: used_spinup_option, dtype: object\n",
      "L3-L5_files/2023.3/elev_bands/W5E5_spinup/RGI62/b_160/L5/summary/ W5E5_per_glacier_spinup 2023.3 b_160\n",
      "1449    dynamic melt_f calibration (full success)\n",
      "Name: used_spinup_option, dtype: object\n",
      "L3-L5_files/2025.6/elev_bands/W5E5/per_glacier_spinup/RGI62/b_160/L5/summary/ W5E5_per_glacier_spinup 2025.6 b_160\n",
      "1449    dynamic melt_f calibration (full success)\n",
      "Name: used_spinup_option, dtype: object\n",
      "L3-L5_files/2025.6/elev_bands/W5E5/regional_spinup/RGI62/b_160/L5/summary/ W5E5_regional_spinup 2025.6 b_160\n",
      "Series([], Name: used_spinup_option, dtype: object)\n",
      "L3-L5_files/2025.6/elev_bands/W5E5/regional_spinup/RGI70G/b_160/L5/summary/ W5E5_regional_spinup 2025.6 b_160\n",
      "Series([], Name: used_spinup_option, dtype: object)\n",
      "L3-L5_files/2025.6/elev_bands/W5E5/regional_spinup/RGI70C/b_160/L5/summary/ W5E5_regional_spinup 2025.6 b_160\n",
      "1449    dynamic melt_f calibration (full success)\n",
      "Name: used_spinup_option, dtype: object\n",
      "L3-L5_files/2025.6/elev_bands/ERA5/per_glacier_spinup/RGI62/b_160/L5/summary/ ERA5_per_glacier_spinup 2025.6 b_160\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "opts = ['dynamic melt_f calibration (full success)', 'dynamic melt_f calibration (part success)', 'dynamic spinup only','fixed geometry spinup']\n",
    "opts_w = ['dynamic melt_f calibration (full success)_ratio', 'dynamic melt_f calibration (part success)_ratio', \n",
    "          'dynamic spinup only_ratio','fixed geometry spinup_ratio']\n",
    "\n",
    "columns = ['rgi_reg', 'option','rgiv','version','border', 'perc_area_miss', 'perc_glac_miss'] + opts + opts_w\n",
    "pd_stats_l = []\n",
    "working_rgis_l = []\n",
    "for option in [# 'W5E5_per_glacier', <- only available for border 80, so only complex to compare .. \n",
    "                'W5E5_per_glacier_spinup', 'W5E5_regional_spinup',\n",
    "               #'W5E5_spinup_regional_fac1',\n",
    "               #'W5E5_spinup_regional_fac1_newfile',\n",
    "               'ERA5_per_glacier_spinup']: #  'W5E5','ERA5', -> only has border 080 fpr 2025.6\n",
    "    for version in [ '2023.3', '2025.6']: # '2023.2',\n",
    "        for border in ['b_080', 'b_160']:\n",
    "            for rgiv in ['RGI62', 'RGI70G', 'RGI70C']:\n",
    "                if ('RGI70' in rgiv) and ((option!='W5E5_regional_spinup') or (version!='2025.6') or (border!='b_160')):\n",
    "                    continue\n",
    "                elif (version == '2023.2') and (border == 'b_080'):\n",
    "                    continue\n",
    "                elif (version =='2025.6') and (border == 'b_080') and ('spinup' in option):\n",
    "                    continue\n",
    "                elif (version =='2025.6') and (border == 'b_160') and ('spinup' not in option):\n",
    "                    continue\n",
    "                elif (version == '2023.3') and (('ERA5' in option) or ('W5E5_regional_spinup' in option)):\n",
    "                    continue\n",
    "                else:\n",
    "                    pd_stats = pd.DataFrame(columns=columns, index = rgi_reg_l)\n",
    "                    path = '/home/www/oggm/gdirs/oggm_v1.6/'\n",
    "                    optis = option.split('_')\n",
    "                    opt1 = optis[0]\n",
    "                    opt2 = option[len(opt1)+1:]\n",
    "                    if (version == '2023.3') and (option == 'W5E5_per_glacier_spinup'):\n",
    "                        add = f'L3-L5_files/{version}/elev_bands/W5E5_spinup/{rgiv}/{border}/L5/summary/'\n",
    "                    else:\n",
    "                        add = f'L3-L5_files/{version}/elev_bands/{opt1}/{opt2}/{rgiv}/{border}/L5/summary/'\n",
    "\n",
    "                    stats_l = []\n",
    "                    for rgi_reg in rgi_reg_l[:-1]:# not 'all'\n",
    "                        stats_l.append(pd.read_csv(path+add+f'glacier_statistics_{rgi_reg}.csv', low_memory=False))\n",
    "                    stats = pd.concat(stats_l)  \n",
    "    \n",
    "                    stats_w = stats.loc[stats.error_msg.isna()]\n",
    "                    working_rgis_l.append(stats_w.rgi_id.values)\n",
    "                    perc_area_miss = 100-100*stats_w.rgi_area_km2.sum()/stats.rgi_area_km2.sum()\n",
    "                    perc_glac_miss = 100-100*stats_w.rgi_id.count()/stats.rgi_id.count()\n",
    "                    if 'spinup' in option:\n",
    "                        stats_spinup_option = tuple(stats.groupby(['used_spinup_option']).count()['rgi_id'].loc[opts].values)\n",
    "                        stats_spinup_option_w = tuple(stats_w.groupby(['used_spinup_option']).count()['rgi_id'].loc[opts].values/len(stats))\n",
    "                        print(stats.loc[stats.rgi_id=='RGI60-11.01450']['used_spinup_option'])\n",
    "                    else:\n",
    "                        stats_spinup_option = (np.NaN, np.NaN, np.NaN, np.NaN)\n",
    "                        stats_spinup_option_w = (np.NaN, np.NaN, np.NaN, np.NaN)\n",
    "                    \n",
    "                    pd_stats.loc['all'] = ('all',option,rgiv,version, border, perc_area_miss,perc_glac_miss)+stats_spinup_option+stats_spinup_option_w\n",
    "\n",
    "                    for rgi_r in np.arange(1,20,1): \n",
    "                        stats_r = stats.loc[stats.rgi_region==rgi_r]\n",
    "                        if 'spinup' in option:\n",
    "                            _p = stats_r.groupby(['used_spinup_option']).count()['rgi_id']\n",
    "                            # it can be that one of the options occurs for none of the glaciers in one RGI region\n",
    "                            for o in opts:\n",
    "                                if o not in _p.index:\n",
    "                                    _p.loc[o] = 0\n",
    "                            stats_spinup_option = tuple(_p.loc[opts].values)\n",
    "                        else:\n",
    "                            stats_spinup_option = (np.NaN, np.NaN, np.NaN, np.NaN)\n",
    "                        rgi_reg = str(rgi_r).zfill(2)\n",
    "                        stats_w_r = stats_r.loc[stats_r.error_msg.isna()]\n",
    "                        if 'spinup' in option:\n",
    "                            _p = stats_w_r.groupby(['used_spinup_option']).count()['rgi_id']\n",
    "                            # it can be that one of the options occurs for none of the glaciers in one RGI region\n",
    "                            for o in opts:\n",
    "                                if o not in _p.index:\n",
    "                                    _p.loc[o] = 0\n",
    "                            stats_spinup_option_w = tuple(_p.loc[opts].values/len(stats_r))\n",
    "                        else:\n",
    "                            stats_spinup_option_w = (np.NaN, np.NaN, np.NaN, np.NaN)\n",
    "                        \n",
    "                        perc_area_miss = 100-100*stats_w_r.rgi_area_km2.sum()/stats_r.rgi_area_km2.sum()\n",
    "                        perc_glac_miss = 100-100*stats_w_r.rgi_id.count()/stats_r.rgi_id.count()\n",
    "                        pd_stats.loc[rgi_reg] = (rgi_reg,option,rgiv,version, border, perc_area_miss,perc_glac_miss) + stats_spinup_option + stats_spinup_option_w\n",
    "                    pd_stats_l.append(pd_stats.reset_index())\n",
    "                    print(add, option, version, border)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {},
   "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>level_0</th>\n",
       "      <th>index</th>\n",
       "      <th>rgi_reg</th>\n",
       "      <th>option</th>\n",
       "      <th>rgiv</th>\n",
       "      <th>version</th>\n",
       "      <th>border</th>\n",
       "      <th>perc_area_miss</th>\n",
       "      <th>perc_glac_miss</th>\n",
       "      <th>dynamic melt_f calibration (full success)</th>\n",
       "      <th>...</th>\n",
       "      <th>dynamic melt_f calibration (full success)_ratio</th>\n",
       "      <th>dynamic melt_f calibration (part success)_ratio</th>\n",
       "      <th>dynamic spinup only_ratio</th>\n",
       "      <th>fixed geometry spinup_ratio</th>\n",
       "      <th>version_option_border_rgiv</th>\n",
       "      <th>version_option_rgiv</th>\n",
       "      <th>dynamic melt_f calibration (full+part success)</th>\n",
       "      <th>total</th>\n",
       "      <th>dynamic calib full success / total (%)</th>\n",
       "      <th>dynamic calib full + part success / total (%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>01</td>\n",
       "      <td>01</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2023.3</td>\n",
       "      <td>b_080</td>\n",
       "      <td>0.012813</td>\n",
       "      <td>0.184447</td>\n",
       "      <td>23455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.864985</td>\n",
       "      <td>0.053379</td>\n",
       "      <td>0.028036</td>\n",
       "      <td>0.051756</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_b_080_RGI62</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_RGI62</td>\n",
       "      <td>24933</td>\n",
       "      <td>27097</td>\n",
       "      <td>86.559398</td>\n",
       "      <td>92.013876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>02</td>\n",
       "      <td>02</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2023.3</td>\n",
       "      <td>b_080</td>\n",
       "      <td>0.057752</td>\n",
       "      <td>1.53275</td>\n",
       "      <td>15641</td>\n",
       "      <td>...</td>\n",
       "      <td>0.820366</td>\n",
       "      <td>0.029966</td>\n",
       "      <td>0.01904</td>\n",
       "      <td>0.115301</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_b_080_RGI62</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_RGI62</td>\n",
       "      <td>16232</td>\n",
       "      <td>18843</td>\n",
       "      <td>83.006952</td>\n",
       "      <td>86.143395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>03</td>\n",
       "      <td>03</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2023.3</td>\n",
       "      <td>b_080</td>\n",
       "      <td>0.038573</td>\n",
       "      <td>0.504829</td>\n",
       "      <td>4430</td>\n",
       "      <td>...</td>\n",
       "      <td>0.970808</td>\n",
       "      <td>0.00417</td>\n",
       "      <td>0.001317</td>\n",
       "      <td>0.018657</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_b_080_RGI62</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_RGI62</td>\n",
       "      <td>4450</td>\n",
       "      <td>4541</td>\n",
       "      <td>97.555604</td>\n",
       "      <td>97.996036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>04</td>\n",
       "      <td>04</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2023.3</td>\n",
       "      <td>b_080</td>\n",
       "      <td>0.018773</td>\n",
       "      <td>0.445044</td>\n",
       "      <td>6998</td>\n",
       "      <td>...</td>\n",
       "      <td>0.942009</td>\n",
       "      <td>0.018746</td>\n",
       "      <td>0.005529</td>\n",
       "      <td>0.029265</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_b_080_RGI62</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_RGI62</td>\n",
       "      <td>7142</td>\n",
       "      <td>7409</td>\n",
       "      <td>94.452693</td>\n",
       "      <td>96.396275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>05</td>\n",
       "      <td>05</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2023.3</td>\n",
       "      <td>b_080</td>\n",
       "      <td>0.006571</td>\n",
       "      <td>0.19683</td>\n",
       "      <td>17753</td>\n",
       "      <td>...</td>\n",
       "      <td>0.919248</td>\n",
       "      <td>0.027608</td>\n",
       "      <td>0.009583</td>\n",
       "      <td>0.041593</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_b_080_RGI62</td>\n",
       "      <td>2023.3_W5E5_per_glacier_spinup_RGI62</td>\n",
       "      <td>18297</td>\n",
       "      <td>19289</td>\n",
       "      <td>92.036912</td>\n",
       "      <td>94.857172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>ERA5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.017514</td>\n",
       "      <td>0.272201</td>\n",
       "      <td>1778</td>\n",
       "      <td>...</td>\n",
       "      <td>0.604968</td>\n",
       "      <td>0.157196</td>\n",
       "      <td>0.047976</td>\n",
       "      <td>0.187138</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_b_160_RGI62</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_RGI62</td>\n",
       "      <td>2246</td>\n",
       "      <td>2938</td>\n",
       "      <td>60.517359</td>\n",
       "      <td>76.446562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>ERA5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.041727</td>\n",
       "      <td>0.289163</td>\n",
       "      <td>12095</td>\n",
       "      <td>...</td>\n",
       "      <td>0.760309</td>\n",
       "      <td>0.097875</td>\n",
       "      <td>0.032374</td>\n",
       "      <td>0.10655</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_b_160_RGI62</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_RGI62</td>\n",
       "      <td>13674</td>\n",
       "      <td>15886</td>\n",
       "      <td>76.136221</td>\n",
       "      <td>86.07579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>17</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>ERA5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.002668</td>\n",
       "      <td>0.028273</td>\n",
       "      <td>2636</td>\n",
       "      <td>...</td>\n",
       "      <td>0.745264</td>\n",
       "      <td>0.109132</td>\n",
       "      <td>0.020922</td>\n",
       "      <td>0.124399</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_b_160_RGI62</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_RGI62</td>\n",
       "      <td>3022</td>\n",
       "      <td>3536</td>\n",
       "      <td>74.547511</td>\n",
       "      <td>85.463801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>ERA5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.191538</td>\n",
       "      <td>15.261628</td>\n",
       "      <td>1726</td>\n",
       "      <td>...</td>\n",
       "      <td>0.626453</td>\n",
       "      <td>0.073038</td>\n",
       "      <td>0.013445</td>\n",
       "      <td>0.134448</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_b_160_RGI62</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_RGI62</td>\n",
       "      <td>1928</td>\n",
       "      <td>2356</td>\n",
       "      <td>73.259762</td>\n",
       "      <td>81.833616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>19</td>\n",
       "      <td>all</td>\n",
       "      <td>all</td>\n",
       "      <td>ERA5_per_glacier_spinup</td>\n",
       "      <td>RGI62</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.088595</td>\n",
       "      <td>0.834621</td>\n",
       "      <td>183069</td>\n",
       "      <td>...</td>\n",
       "      <td>0.849179</td>\n",
       "      <td>0.050091</td>\n",
       "      <td>0.018562</td>\n",
       "      <td>0.073821</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_b_160_RGI62</td>\n",
       "      <td>2025.6_ERA5_per_glacier_spinup_RGI62</td>\n",
       "      <td>194015</td>\n",
       "      <td>214544</td>\n",
       "      <td>85.32935</td>\n",
       "      <td>90.431333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     level_0 index rgi_reg                   option   rgiv version border  \\\n",
       "0          0    01      01  W5E5_per_glacier_spinup  RGI62  2023.3  b_080   \n",
       "1          1    02      02  W5E5_per_glacier_spinup  RGI62  2023.3  b_080   \n",
       "2          2    03      03  W5E5_per_glacier_spinup  RGI62  2023.3  b_080   \n",
       "3          3    04      04  W5E5_per_glacier_spinup  RGI62  2023.3  b_080   \n",
       "4          4    05      05  W5E5_per_glacier_spinup  RGI62  2023.3  b_080   \n",
       "..       ...   ...     ...                      ...    ...     ...    ...   \n",
       "135       15    16      16  ERA5_per_glacier_spinup  RGI62  2025.6  b_160   \n",
       "136       16    17      17  ERA5_per_glacier_spinup  RGI62  2025.6  b_160   \n",
       "137       17    18      18  ERA5_per_glacier_spinup  RGI62  2025.6  b_160   \n",
       "138       18    19      19  ERA5_per_glacier_spinup  RGI62  2025.6  b_160   \n",
       "139       19   all     all  ERA5_per_glacier_spinup  RGI62  2025.6  b_160   \n",
       "\n",
       "    perc_area_miss perc_glac_miss dynamic melt_f calibration (full success)  \\\n",
       "0         0.012813       0.184447                                     23455   \n",
       "1         0.057752        1.53275                                     15641   \n",
       "2         0.038573       0.504829                                      4430   \n",
       "3         0.018773       0.445044                                      6998   \n",
       "4         0.006571        0.19683                                     17753   \n",
       "..             ...            ...                                       ...   \n",
       "135       0.017514       0.272201                                      1778   \n",
       "136       0.041727       0.289163                                     12095   \n",
       "137       0.002668       0.028273                                      2636   \n",
       "138       0.191538      15.261628                                      1726   \n",
       "139       0.088595       0.834621                                    183069   \n",
       "\n",
       "     ... dynamic melt_f calibration (full success)_ratio  \\\n",
       "0    ...                                        0.864985   \n",
       "1    ...                                        0.820366   \n",
       "2    ...                                        0.970808   \n",
       "3    ...                                        0.942009   \n",
       "4    ...                                        0.919248   \n",
       "..   ...                                             ...   \n",
       "135  ...                                        0.604968   \n",
       "136  ...                                        0.760309   \n",
       "137  ...                                        0.745264   \n",
       "138  ...                                        0.626453   \n",
       "139  ...                                        0.849179   \n",
       "\n",
       "    dynamic melt_f calibration (part success)_ratio dynamic spinup only_ratio  \\\n",
       "0                                          0.053379                  0.028036   \n",
       "1                                          0.029966                   0.01904   \n",
       "2                                           0.00417                  0.001317   \n",
       "3                                          0.018746                  0.005529   \n",
       "4                                          0.027608                  0.009583   \n",
       "..                                              ...                       ...   \n",
       "135                                        0.157196                  0.047976   \n",
       "136                                        0.097875                  0.032374   \n",
       "137                                        0.109132                  0.020922   \n",
       "138                                        0.073038                  0.013445   \n",
       "139                                        0.050091                  0.018562   \n",
       "\n",
       "    fixed geometry spinup_ratio                  version_option_border_rgiv  \\\n",
       "0                      0.051756  2023.3_W5E5_per_glacier_spinup_b_080_RGI62   \n",
       "1                      0.115301  2023.3_W5E5_per_glacier_spinup_b_080_RGI62   \n",
       "2                      0.018657  2023.3_W5E5_per_glacier_spinup_b_080_RGI62   \n",
       "3                      0.029265  2023.3_W5E5_per_glacier_spinup_b_080_RGI62   \n",
       "4                      0.041593  2023.3_W5E5_per_glacier_spinup_b_080_RGI62   \n",
       "..                          ...                                         ...   \n",
       "135                    0.187138  2025.6_ERA5_per_glacier_spinup_b_160_RGI62   \n",
       "136                     0.10655  2025.6_ERA5_per_glacier_spinup_b_160_RGI62   \n",
       "137                    0.124399  2025.6_ERA5_per_glacier_spinup_b_160_RGI62   \n",
       "138                    0.134448  2025.6_ERA5_per_glacier_spinup_b_160_RGI62   \n",
       "139                    0.073821  2025.6_ERA5_per_glacier_spinup_b_160_RGI62   \n",
       "\n",
       "                      version_option_rgiv  \\\n",
       "0    2023.3_W5E5_per_glacier_spinup_RGI62   \n",
       "1    2023.3_W5E5_per_glacier_spinup_RGI62   \n",
       "2    2023.3_W5E5_per_glacier_spinup_RGI62   \n",
       "3    2023.3_W5E5_per_glacier_spinup_RGI62   \n",
       "4    2023.3_W5E5_per_glacier_spinup_RGI62   \n",
       "..                                    ...   \n",
       "135  2025.6_ERA5_per_glacier_spinup_RGI62   \n",
       "136  2025.6_ERA5_per_glacier_spinup_RGI62   \n",
       "137  2025.6_ERA5_per_glacier_spinup_RGI62   \n",
       "138  2025.6_ERA5_per_glacier_spinup_RGI62   \n",
       "139  2025.6_ERA5_per_glacier_spinup_RGI62   \n",
       "\n",
       "    dynamic melt_f calibration (full+part success)   total  \\\n",
       "0                                            24933   27097   \n",
       "1                                            16232   18843   \n",
       "2                                             4450    4541   \n",
       "3                                             7142    7409   \n",
       "4                                            18297   19289   \n",
       "..                                             ...     ...   \n",
       "135                                           2246    2938   \n",
       "136                                          13674   15886   \n",
       "137                                           3022    3536   \n",
       "138                                           1928    2356   \n",
       "139                                         194015  214544   \n",
       "\n",
       "    dynamic calib full success / total (%)  \\\n",
       "0                                86.559398   \n",
       "1                                83.006952   \n",
       "2                                97.555604   \n",
       "3                                94.452693   \n",
       "4                                92.036912   \n",
       "..                                     ...   \n",
       "135                              60.517359   \n",
       "136                              76.136221   \n",
       "137                              74.547511   \n",
       "138                              73.259762   \n",
       "139                               85.32935   \n",
       "\n",
       "    dynamic calib full + part success / total (%)  \n",
       "0                                       92.013876  \n",
       "1                                       86.143395  \n",
       "2                                       97.996036  \n",
       "3                                       96.396275  \n",
       "4                                       94.857172  \n",
       "..                                            ...  \n",
       "135                                     76.446562  \n",
       "136                                      86.07579  \n",
       "137                                     85.463801  \n",
       "138                                     81.833616  \n",
       "139                                     90.431333  \n",
       "\n",
       "[140 rows x 23 columns]"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd_stats_all"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 236,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 236,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(working_rgis_l)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 237,
   "metadata": {},
   "outputs": [],
   "source": [
    "load = False  # as we also compare with RGI7 (which has other IDs, it does not anymore make sense to save the common working rgi ids..)\n",
    "if load: \n",
    "    common_working_rgi_ids = set(working_rgis_l[0])\n",
    "    for lst in working_rgis_l[1:]:\n",
    "        common_working_rgi_ids = common_working_rgi_ids.intersection(lst)\n",
    "    common_working_rgi_ids = list(common_working_rgi_ids)\n",
    "    print(len(list(set(common_working_rgi_ids))), len(common_working_rgi_ids))\n",
    "    pd.DataFrame(index=common_working_rgi_ids).to_csv('common_working_rgi_ids_prepro_2023.3_2025.6_spinup_w5e5_era5_plus_regional_spinup.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 257,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd_stats_all = pd.concat(pd_stats_l).reset_index()\n",
    "ind_n_l = []\n",
    "ind_n_l2 = []\n",
    "for k in pd_stats_all.index:\n",
    "    v,o,b,r = pd_stats_all[['version','option','border','rgiv']].iloc[k].values\n",
    "    ind_n = f'{v}_{o}_{b}_{r}'\n",
    "    ind_n2 = f'{v}_{o}_{r}'\n",
    "    if ind_n == '2023.3_W5E5_per_glacier_spinup_b_160_RGI62':\n",
    "        ind_n2 = 'OGGM v1.6.1 standard projections\\n'+ind_n2\n",
    "    elif ind_n == '2025.6_W5E5_per_glacier_spinup_b_160_RGI62':\n",
    "        ind_n2 = 'OGGM v1.6.3 standard projections\\n'+ind_n2\n",
    "    \n",
    "    ind_n_l.append(ind_n)\n",
    "    ind_n_l2.append(ind_n2)\n",
    "\n",
    "pd_stats_all['version_option_border_rgiv'] = ind_n_l\n",
    "pd_stats_all['version_option_rgiv'] = ind_n_l2\n",
    "\n",
    "pd_stats_all['dynamic melt_f calibration (full+part success)'] = (pd_stats_all['dynamic melt_f calibration (full success)'] + \n",
    "                                                                  pd_stats_all['dynamic melt_f calibration (part success)'])\n",
    "#pd_stats_all['dynamic melt_f calibration (full+part success)_ratio'] = (pd_stats_all['dynamic melt_f calibration (full success)_ratio'] + \n",
    "#                                                                  pd_stats_all['dynamic melt_f calibration (part success)_ratio'])\n",
    "pd_stats_all['total'] = (pd_stats_all['dynamic melt_f calibration (full+part success)']+\n",
    "                         pd_stats_all['fixed geometry spinup']+\n",
    "                         pd_stats_all['dynamic spinup only'])\n",
    "\n",
    "\n",
    "pd_stats_all['dynamic calib full success / total (%)'] = 100*(pd_stats_all['dynamic melt_f calibration (full success)'] / pd_stats_all['total'])\n",
    "pd_stats_all['dynamic calib full + part success / total (%)'] = 100*(pd_stats_all['dynamic melt_f calibration (full+part success)'] / pd_stats_all['total'])\n",
    "\n",
    "#pd_stats_all['dynamic calib full success_ratio / total (%)'] = 100*pd_stats_all['dynamic melt_f calibration (full success)_ratio'] #/ pd_stats_all['total'])\n",
    "#pd_stats_all['dynamic calib full + part success_ratio / total (%)'] = 100*pd_stats_all['dynamic melt_f calibration (full+part success)_ratio']# / pd_stats_all['total'])\n",
    "\n",
    "## order forthe plots\n",
    "version_order = ['OGGM v1.6.1 standard projections\\n2023.3_W5E5_per_glacier_spinup_RGI62', 'OGGM v1.6.3 standard projections\\n2025.6_W5E5_per_glacier_spinup_RGI62',\n",
    "                 '2025.6_ERA5_per_glacier_spinup_RGI62', '2025.6_W5E5_regional_spinup_RGI62', '2025.6_W5E5_regional_spinup_RGI70G', '2025.6_W5E5_regional_spinup_RGI70C']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_reg</th>\n",
       "      <th>option</th>\n",
       "      <th>version</th>\n",
       "      <th>border</th>\n",
       "      <th>perc_area_miss</th>\n",
       "      <th>perc_glac_miss</th>\n",
       "      <th>dynamic melt_f calibration (full success)</th>\n",
       "      <th>dynamic melt_f calibration (part success)</th>\n",
       "      <th>dynamic spinup only</th>\n",
       "      <th>fixed geometry spinup</th>\n",
       "      <th>dynamic melt_f calibration (full+part success)</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>all</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>2023.3</td>\n",
       "      <td>b_080</td>\n",
       "      <td>0.102574</td>\n",
       "      <td>1.072156</td>\n",
       "      <td>186128</td>\n",
       "      <td>9322</td>\n",
       "      <td>4437</td>\n",
       "      <td>14441</td>\n",
       "      <td>195450</td>\n",
       "      <td>214328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>all</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>2023.3</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.098552</td>\n",
       "      <td>1.022051</td>\n",
       "      <td>185467</td>\n",
       "      <td>9922</td>\n",
       "      <td>4453</td>\n",
       "      <td>14485</td>\n",
       "      <td>195389</td>\n",
       "      <td>214327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>all</td>\n",
       "      <td>W5E5_per_glacier_spinup</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.091014</td>\n",
       "      <td>0.888437</td>\n",
       "      <td>182455</td>\n",
       "      <td>12161</td>\n",
       "      <td>4112</td>\n",
       "      <td>15656</td>\n",
       "      <td>194616</td>\n",
       "      <td>214384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>all</td>\n",
       "      <td>W5E5_regional_spinup</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.067152</td>\n",
       "      <td>0.890757</td>\n",
       "      <td>173187</td>\n",
       "      <td>20964</td>\n",
       "      <td>6912</td>\n",
       "      <td>13534</td>\n",
       "      <td>194151</td>\n",
       "      <td>214597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>all</td>\n",
       "      <td>W5E5_regional_spinup</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.194744</td>\n",
       "      <td>0.77514</td>\n",
       "      <td>217156</td>\n",
       "      <td>27795</td>\n",
       "      <td>8307</td>\n",
       "      <td>20865</td>\n",
       "      <td>244951</td>\n",
       "      <td>274123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>all</td>\n",
       "      <td>W5E5_regional_spinup</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.095318</td>\n",
       "      <td>0.575002</td>\n",
       "      <td>149464</td>\n",
       "      <td>19320</td>\n",
       "      <td>6405</td>\n",
       "      <td>17373</td>\n",
       "      <td>168784</td>\n",
       "      <td>192562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>all</td>\n",
       "      <td>ERA5_per_glacier_spinup</td>\n",
       "      <td>2025.6</td>\n",
       "      <td>b_160</td>\n",
       "      <td>0.088595</td>\n",
       "      <td>0.834621</td>\n",
       "      <td>183069</td>\n",
       "      <td>10946</td>\n",
       "      <td>4014</td>\n",
       "      <td>16515</td>\n",
       "      <td>194015</td>\n",
       "      <td>214544</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    rgi_reg                   option version border perc_area_miss  \\\n",
       "19      all  W5E5_per_glacier_spinup  2023.3  b_080       0.102574   \n",
       "39      all  W5E5_per_glacier_spinup  2023.3  b_160       0.098552   \n",
       "59      all  W5E5_per_glacier_spinup  2025.6  b_160       0.091014   \n",
       "79      all     W5E5_regional_spinup  2025.6  b_160       0.067152   \n",
       "99      all     W5E5_regional_spinup  2025.6  b_160       0.194744   \n",
       "119     all     W5E5_regional_spinup  2025.6  b_160       0.095318   \n",
       "139     all  ERA5_per_glacier_spinup  2025.6  b_160       0.088595   \n",
       "\n",
       "    perc_glac_miss dynamic melt_f calibration (full success)  \\\n",
       "19        1.072156                                    186128   \n",
       "39        1.022051                                    185467   \n",
       "59        0.888437                                    182455   \n",
       "79        0.890757                                    173187   \n",
       "99         0.77514                                    217156   \n",
       "119       0.575002                                    149464   \n",
       "139       0.834621                                    183069   \n",
       "\n",
       "    dynamic melt_f calibration (part success) dynamic spinup only  \\\n",
       "19                                       9322                4437   \n",
       "39                                       9922                4453   \n",
       "59                                      12161                4112   \n",
       "79                                      20964                6912   \n",
       "99                                      27795                8307   \n",
       "119                                     19320                6405   \n",
       "139                                     10946                4014   \n",
       "\n",
       "    fixed geometry spinup dynamic melt_f calibration (full+part success)  \\\n",
       "19                  14441                                         195450   \n",
       "39                  14485                                         195389   \n",
       "59                  15656                                         194616   \n",
       "79                  13534                                         194151   \n",
       "99                  20865                                         244951   \n",
       "119                 17373                                         168784   \n",
       "139                 16515                                         194015   \n",
       "\n",
       "      total  \n",
       "19   214328  \n",
       "39   214327  \n",
       "59   214384  \n",
       "79   214597  \n",
       "99   274123  \n",
       "119  192562  \n",
       "139  214544  "
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check out the global numbers \n",
    "pd_all = pd_stats_all.loc[pd_stats_all.rgi_reg=='all']\n",
    "pd_all[['rgi_reg', 'option', 'version', 'border',\n",
    "       'perc_area_miss', 'perc_glac_miss',\n",
    "       'dynamic melt_f calibration (full success)',\n",
    "       'dynamic melt_f calibration (part success)', 'dynamic spinup only',\n",
    "       'fixed geometry spinup','dynamic melt_f calibration (full+part success)','total']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Figures to present error analysis of the different gdirs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18,5))\n",
    "fig.subplots_adjust(top=0.88)\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "sns.set(font_scale = 1.3)\n",
    "\n",
    "_pd_stats_all = pd_stats_all.loc[pd_stats_all.version_option_border_rgiv != '2023.3_W5E5_per_glacier_spinup_b_080_RGI62']\n",
    "assert np.all(_pd_stats_all.border == 'b_160')\n",
    "pd_sel_area_miss = _pd_stats_all[['rgi_reg','version_option_rgiv','perc_area_miss']].dropna().pivot(columns='version_option_rgiv', index = 'rgi_reg')\n",
    "pd_sel_area_miss.columns = pd_sel_area_miss.columns.get_level_values(1)\n",
    "pd_sel_area_miss = pd_sel_area_miss.astype(float).round(1)\n",
    "pd_sel_area_miss = pd_sel_area_miss[version_order]\n",
    "\n",
    "# colorbar axis above the heatmap\n",
    "cbar_ax = fig.add_axes([0.15, 0.92, 0.5, 0.05])\n",
    "sns.heatmap(pd_sel_area_miss.T,\n",
    "            ax=ax,\n",
    "            #y= 'rgi_reg', x='option_version_border',\n",
    "            linewidths=.8, cmap=\"PuRd\", cbar_ax=cbar_ax, \n",
    "            cbar_kws={\"orientation\": \"horizontal\",\"pad\": 0.08},      # distance from the heatmap\n",
    "           annot=True, fmt=\".1f\")\n",
    "cbar = ax.collections[0].colorbar\n",
    "cbar.ax.xaxis.set_label_position('top')\n",
    "cbar.ax.xaxis.set_ticks_position('top')\n",
    "\n",
    "# label text\n",
    "cbar.set_label('Relative failing glacier area (%)',\n",
    "    fontsize=22,\n",
    "    fontweight=\"bold\",\n",
    "    labelpad=10\n",
    ")\n",
    "cbar.ax.xaxis.label.set_horizontalalignment(\"center\")\n",
    "\n",
    "ax.set_ylabel('')\n",
    "ax.set_xlabel('RGI Region')\n",
    "bold_labels = ['all',  'OGGM v1.6.1 standard projections\\n2023.3_W5E5_per_glacier_spinup_RGI62', 'OGGM v1.6.3 standard projections\\n2025.6_W5E5_per_glacier_spinup_RGI62'] \n",
    "for label in ax.get_xticklabels():\n",
    "    if label.get_text() in bold_labels:\n",
    "        label.set_fontweight('bold')\n",
    "for label in ax.get_yticklabels():\n",
    "    if label.get_text() in bold_labels:\n",
    "        label.set_fontweight('bold')\n",
    "plt.savefig('error_analysis_2025_6_w5e5_era5_vs_2023_3_spinup_calib_prepro_failing_glacier_area_rgi6_7.png', bbox_inches=\"tight\")\n",
    "#plt.savefig('error_analysis_2025_6_old_vs_new_bias_vs_2023_3_prepro_failing_glacier_area.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18,5))\n",
    "fig.subplots_adjust(top=0.88)\n",
    "\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "sns.set(font_scale = 1.3)\n",
    "_pd_stats_all = pd_stats_all.loc[pd_stats_all.version_option_border_rgiv != '2023.3_W5E5_per_glacier_spinup_b_080_RGI62']\n",
    "assert np.all(_pd_stats_all.border == 'b_160')\n",
    "pd_sel_glac_miss = _pd_stats_all[['rgi_reg','version_option_rgiv','perc_glac_miss']].dropna().pivot(columns='version_option_rgiv', index = 'rgi_reg')\n",
    "pd_sel_glac_miss.columns = pd_sel_glac_miss.columns.get_level_values(1)\n",
    "pd_sel_glac_miss = pd_sel_glac_miss.astype(float).round(1)\n",
    "pd_sel_glac_miss = pd_sel_glac_miss[version_order]\n",
    "\n",
    "\n",
    "# colorbar axis above the heatmap\n",
    "cbar_ax = fig.add_axes([0.15, 0.92, 0.5, 0.05])\n",
    "sns.heatmap(pd_sel_glac_miss.T,\n",
    "            ax=ax,\n",
    "            #y= 'rgi_reg', x='option_version_border',\n",
    "            linewidths=.8, cmap=\"PuRd\", cbar_ax=cbar_ax, \n",
    "            cbar_kws={ \"orientation\": \"horizontal\",\n",
    "                                                   \"pad\": 0.08},      # distance from the heatmap\n",
    "                                                    #\"label\": \"Relative failing glacier area (%)\"},\n",
    "           annot=True, fmt=\".1f\")\n",
    "cbar = ax.collections[0].colorbar\n",
    "cbar.ax.xaxis.set_label_position('top')\n",
    "cbar.ax.xaxis.set_ticks_position('top')\n",
    "\n",
    "# label text\n",
    "cbar.set_label('Relative failing glacier amount (%)',\n",
    "    fontsize=22,\n",
    "    fontweight=\"bold\",\n",
    "    labelpad=10\n",
    ")\n",
    "cbar.ax.xaxis.label.set_horizontalalignment(\"center\")\n",
    "\n",
    "ax.set_ylabel('')\n",
    "ax.set_xlabel('RGI Region')\n",
    "bold_labels = ['all',  'OGGM v1.6.1 standard projections\\n2023.3_W5E5_per_glacier_spinup_RGI62', 'OGGM v1.6.3 standard projections\\n2025.6_W5E5_per_glacier_spinup_RGI62'] \n",
    "for label in ax.get_xticklabels():\n",
    "    if label.get_text() in bold_labels:\n",
    "        label.set_fontweight('bold')\n",
    "for label in ax.get_yticklabels():\n",
    "    if label.get_text() in bold_labels:\n",
    "        label.set_fontweight('bold')\n",
    "plt.savefig('error_analysis_2025_6_w5e5_era5_vs_2023_3_spinup_calib_prepro_failing_glaciers_rgi6_7.png', bbox_inches=\"tight\")\n",
    "#plt.savefig('error_analysis_2025_6_old_vs_new_bias_vs_2023_3_prepro_failing_glaciers.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18,5))\n",
    "fig.subplots_adjust(top=0.88)\n",
    "# main heatmap axis\n",
    "ax = fig.add_subplot(111)\n",
    "\n",
    "sns.set(font_scale = 1.3)\n",
    "_pd_stats_all = pd_stats_all.loc[pd_stats_all.version_option_border_rgiv != '2023.3_W5E5_per_glacier_spinup_b_080_RGI62']\n",
    "assert np.all(_pd_stats_all.border == 'b_160')\n",
    "pd_sel_dynamic_success_total = _pd_stats_all[['rgi_reg','version_option_rgiv',\n",
    "                                             'dynamic calib full success / total (%)']].dropna().pivot(columns='version_option_rgiv',\n",
    "                                                                                                       index = 'rgi_reg')\n",
    "\n",
    "pd_sel_dynamic_success_total.columns = pd_sel_dynamic_success_total.columns.get_level_values(1)\n",
    "pd_sel_dynamic_success_total = pd_sel_dynamic_success_total.astype(float).round(1)\n",
    "pd_sel_dynamic_success_total = pd_sel_dynamic_success_total.dropna(axis=1, how='all')\n",
    "pd_sel_dynamic_success_total = pd_sel_dynamic_success_total[version_order]\n",
    "\n",
    "# colorbar axis above the heatmap\n",
    "cbar_ax = fig.add_axes([0.15, 0.92, 0.5, 0.05])\n",
    "sns.heatmap(pd_sel_dynamic_success_total.T,\n",
    "            ax=ax,\n",
    "            #y= 'rgi_reg', x='option_version_border',\n",
    "            linewidths=.8, cmap=\"Blues\", cbar_ax=cbar_ax, \n",
    "            cbar_kws={\"orientation\": \"horizontal\",\"pad\": 0.08},      # distance from the heatmap\n",
    "                                                    #\"label\": \"Relative failing glacier area (%)\"},\n",
    "           annot=True, fmt=\".1f\")\n",
    "cbar = ax.collections[0].colorbar\n",
    "cbar = ax.collections[0].colorbar\n",
    "# label text\n",
    "cbar.set_label('Relative amount of glaciers with full success in the dynamic calibration (%)',\n",
    "    fontsize=22,\n",
    "    fontweight=\"bold\",\n",
    "    labelpad=10\n",
    ")\n",
    "cbar.ax.xaxis.set_label_position('top')\n",
    "cbar.ax.xaxis.set_ticks_position('top')\n",
    "cbar.ax.xaxis.label.set_horizontalalignment(\"center\")\n",
    "\n",
    "ax.figure.axes[-1].yaxis.label.set_size(18)\n",
    "ax.set_xlabel('RGI region', fontsize=18)\n",
    "ax.set_ylabel('')\n",
    "#plt.tight_layout()\n",
    "bold_labels = ['all',  'OGGM v1.6.1 standard projections\\n2023.3_W5E5_per_glacier_spinup_RGI62', 'OGGM v1.6.3 standard projections\\n2025.6_W5E5_per_glacier_spinup_RGI62'] \n",
    "for label in ax.get_xticklabels():\n",
    "    if label.get_text() in bold_labels:\n",
    "        label.set_fontweight('bold')\n",
    "for label in ax.get_yticklabels():\n",
    "    if label.get_text() in bold_labels:\n",
    "        label.set_fontweight('bold')\n",
    "#plt.tight_layout(rect=[0, 0, 1, 0.85])  # leave space for colorbar\n",
    "plt.savefig('error_analysis_2025_6_w5e5_era5_vs_2023_3_spinup_calib_rgi6_7.png', bbox_inches=\"tight\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**--> if you want to look at error analyses of previous oggm versions, check out this notebook: http://nbviewer.org/urls/cluster.klima.uni-bremen.de/~lschuster/error_analysis/error_analysis_oggm_v16_2023.3.ipynb**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Additional error analysis to assess the occurrence of the different error types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 233,
   "metadata": {},
   "outputs": [],
   "source": [
    "def error_analysis_w_plot(dfserr={}, pd_rel_error_area = None,\n",
    "                          level='L2', \n",
    "                          rgiv = '', option = '', border = 'b_160',\n",
    "                          version = '',exp='elev_bands',\n",
    "                          rgi_reg = 'all', \n",
    "                          path = '/home/www/oggm/gdirs/oggm_v1.6', subplot = False, xlim=None, plot=True, rename_match =True):\n",
    "\n",
    "    \"\"\" Estimates for a specific preprocessed gdirs the relative glacier area with errors\n",
    "    and the relative amount of glaciers with errors (both in %). \n",
    "    \n",
    "    Plots the error counts for the different error types.\n",
    "    \n",
    "    Works only if the glacier statistics were estimated!\n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    dfserr : dictionary\n",
    "        dictionary where already errors of largest glaciers from other preprocessed gdirs are saved, default is an empty dictionary\n",
    "    pd_rel_error_area : pd.DataFrame\n",
    "        pandas DataFrame with statistics about relative area and amount of errors on glaciers. \n",
    "        Default is None, which creates a new pandas DataFrame\n",
    "    level : str\n",
    "        the preprocessing level where the errors should be estimated and plotted.\n",
    "        So far, it works only for 'L2' and 'L5'. Default is 'L2'.\n",
    "    exp : str\n",
    "        which glacier flowlines are used. Either 'elev_bands' (default) or 'centerlines'\n",
    "    border : str\n",
    "        which size of the local glacier map was used (prepro_border). In morerecent oggm versions,\n",
    "        we usually use b_160. \n",
    "    rgi_reg : str\n",
    "        default is all RGI regions. But you can also choose a single RGI region (e.g. rgi_reg = '11')\n",
    "    rgiv : str\n",
    "        RGI versions ('RGI62', 'RGI70G', 'RGI70C')\n",
    "    option : str\n",
    "        currently: 'W5E5_per_glacier','W5E5_per_glacier_spinup', 'W5E5_regional_spinup', 'ERA5_per_glacier_spinup'\n",
    "    path : str\n",
    "        path to the general gdirs folder\n",
    "    subplot : bool\n",
    "        Default is False. If you want to use several plots, set it to True\n",
    "    xlim : int\n",
    "        Default is None. Maximum of single type errors in the plot. Useful for subplots\n",
    "    plot : bool\n",
    "        If an error type plot should be returned or not!\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    dfserr : dictionary\n",
    "        dictionary where for each preprocessed gdir, a pd.DataFrame exists which lists the \n",
    "        type of errors and area of the 15 largest glaciers with errors\n",
    "    pd_rel_error_area : pd.DataFrame\n",
    "        pandas DataFrame with statistics about relative area and amount of errors on glaciers. \n",
    "        If repeated, for several preprocessed gdirs, each row represents the statistics of \n",
    "        one preprocessed gdirs.\n",
    "        \n",
    "    \"\"\"\n",
    "    if pd_rel_error_area is None:\n",
    "        pd_rel_error_area = pd.DataFrame(columns=['rel_error_area_in_percent', 'level', 'version', 'option', 'rgiv', 'border'])\n",
    "\n",
    "    if level == 'L2':\n",
    "        fd = f'{path}/L1-L2_files/{version}/{exp}/{rgiv}/{border}/L2/summary/'\n",
    "        title = f'{level}: {version} {exp}, {rgiv}, {border}, rgi_{rgi_reg}'\n",
    "        dict_key = f'{level}_{version}_{exp}_{rgiv}_{border}_rgi_{rgi_reg}'\n",
    "    elif level == 'L5':\n",
    "\n",
    "        if (version == '2023.3') and (option == 'W5E5_per_glacier_spinup'):\n",
    "            fd = f'L3-L5_files/{version}/elev_bands/W5E5_spinup/{rgiv}/{border}/L5/summary/'\n",
    "        elif  (version == '2023.3') and (option == 'W5E5_per_glacier'):\n",
    "            fd = f'L3-L5_files/{version}/elev_bands/W5E5/{rgiv}/{border}/L5/summary/'\n",
    "        else:\n",
    "            optis = option.split('_')\n",
    "            opt1 = optis[0]\n",
    "            opt2 = option[len(opt1)+1:]\n",
    "            fd = f'L3-L5_files/{version}/elev_bands/{opt1}/{opt2}/{rgiv}/{border}/L5/summary/'\n",
    "        \n",
    "        fd = f'{path}/{fd}'\n",
    "\n",
    "        title = f'{level}: {version}, {option}, {rgiv}, {border}, rgi_{rgi_reg}' # exp\n",
    "        dict_key = f'{level}_{version}_{option}_{rgiv}_{border}_{rgi_reg}' # exp not necessary here\n",
    "    else:\n",
    "        raise InvalidParamsError('Only L2 and L5 can be used, but the function can be adapted easily in order that it works for other levels!')\n",
    "\n",
    "\n",
    "    print(path,version, option, exp, fd)\n",
    "    # get the statistics file which lists errors and their type\n",
    "    fs = glob.glob(fd+'glacier_statistics*.csv')\n",
    "    \n",
    "    if rgi_reg == 'all':\n",
    "        print(len(fs))\n",
    "        assert len(fs) == 19\n",
    "    else:\n",
    "        for f in fs:\n",
    "            if f'statistics_{rgi_reg}' in f:\n",
    "                fs = [f]\n",
    "                break\n",
    "        assert len(fs) == 1\n",
    "    \n",
    "    df = []\n",
    "    for f in fs:\n",
    "        df.append(pd.read_csv(f, index_col=0, low_memory=False))\n",
    "    df = pd.concat(df).sort_index()\n",
    "    \n",
    "    rel_error_area = df.loc[~df['error_task'].isnull()].rgi_area_km2.sum() / df.rgi_area_km2.sum() * 100\n",
    "    \n",
    "    # plot the amount of errors for each error type\n",
    "    if plot:\n",
    "        title = title + '\\n relative glacier area with errors: {:.3f}%'.format(rel_error_area.round(3))\n",
    "        if not subplot:\n",
    "            plt.figure()\n",
    "        plt.title(title, fontsize=12)\n",
    "        sns.countplot(y=\"error_task\", data=df.sort_values(by='error_task'));\n",
    "        if xlim is not None:\n",
    "            plt.xlim([0,xlim])\n",
    "\n",
    "    # save the glaciers that result in errors sorted from largest to smallest glacier area\n",
    "    dfserr[dict_key] = df.loc[~df['error_task'].isnull()].sort_values(by='rgi_area_km2', ascending=False)[['rgi_area_km2', 'error_task', 'error_msg']]\n",
    "    # save statistics about relative area and amount of errors on glaciers\n",
    "    pd_rel_error_area.loc[dict_key] = np.NaN\n",
    "    pd_rel_error_area.loc[dict_key,'rel_error_area_in_percent'] = rel_error_area\n",
    "    pd_rel_error_area.loc[dict_key,'rgi_reg'] = rgi_reg\n",
    "    pd_rel_error_area.loc[dict_key,'level'] = level\n",
    "    pd_rel_error_area.loc[dict_key,'border'] = border\n",
    "    pd_rel_error_area.loc[dict_key,'option'] = option\n",
    "    pd_rel_error_area.loc[dict_key,'rgiv'] = rgiv\n",
    "    pd_rel_error_area.loc[dict_key,'version'] = version\n",
    "    pd_rel_error_area.loc[dict_key,'exp'] = exp\n",
    "    \n",
    "    return dfserr, pd_rel_error_area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [],
   "source": [
    "# could be changed, but not all pre-processed directories are available for all prepro_border options!\n",
    "border = 'b_160' # 80 if qc0\n",
    "# these are just containers to save and later compare the error statistics! \n",
    "dfserr = {}\n",
    "\n",
    "pd_rel_error_area = pd.DataFrame(columns=['rel_error_area_in_percent', 'level', 'version', 'option', 'rgiv', 'border', 'rgi_reg','exp'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Analysis for Level 2 pre-processing directories!\n",
    "\n",
    "In pre-processing level 2, we only distinguish between elevation bands and centerlines (see the [Flowlines documentation](https://docs.oggm.org/en/stable/flowlines.html#glacier-flowlines) for an explanation about the differences). "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/www/oggm/gdirs/oggm_v1.6 elev_bands /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/elev_bands/RGI62/b_160/L2/summary/\n",
      "19\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_778936/3317720902.py:119: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'all' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
      "  pd_rel_error_area.loc[dict_key,'rgi_reg'] = rgi_reg\n",
      "/tmp/ipykernel_778936/3317720902.py:120: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'L2' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
      "  pd_rel_error_area.loc[dict_key,'level'] = level\n",
      "/tmp/ipykernel_778936/3317720902.py:121: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'b_160' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
      "  pd_rel_error_area.loc[dict_key,'border'] = border\n",
      "/tmp/ipykernel_778936/3317720902.py:122: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
      "  pd_rel_error_area.loc[dict_key,'option'] = option\n",
      "/tmp/ipykernel_778936/3317720902.py:123: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'RGI62' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
      "  pd_rel_error_area.loc[dict_key,'rgiv'] = rgiv\n",
      "/tmp/ipykernel_778936/3317720902.py:124: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '2025.6' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
      "  pd_rel_error_area.loc[dict_key,'version'] = version\n",
      "/tmp/ipykernel_778936/3317720902.py:125: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'elev_bands' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.\n",
      "  pd_rel_error_area.loc[dict_key,'exp'] = exp\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/www/oggm/gdirs/oggm_v1.6 elev_bands /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/elev_bands/RGI70G/b_160/L2/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 elev_bands /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/elev_bands/RGI70C/b_160/L2/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 centerlines /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/centerlines/RGI62/b_010/L2/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 centerlines /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/centerlines/RGI70G/b_010/L2/summary/\n",
      "19\n"
     ]
    },
    {
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pSPr2228T9I4g3j777DPr3r27HXbYYW4ebwXx5513HjsaABAz6qfoUD/lPNRPAIB4yZUjJ+Nl1apV9t1332X1agDIJkqVKGp5HfsAQCSooVJ74YUXbM+ePRxA2cj06dPdn2+88Yab5iGnuO2226xhw4Z24oknZvWqAADiiPopNeqn7If6CQAQL4STABABzWHb+paa7CszO3DgoB08mMK+AIAoECRlP5s2bXJ/5qRgUooXL+5+AADI7aifsh/qJwBAvOT6tq4AEA/58uWzHTv22LZtu/L8z/btuwknAcTF/PnzrXXr1nbRRRfZOeecY3Xq1LHnn3/e/vrrr4iev2/fPjcX3w033GCVK1d2LTmbNGliY8aMCXrcwIEDXcvV999/P+xyli9f7u6/6667gkYvvPTSS27+Rc3rp/WrV6+edevWzbZu3Rr0fK235gAUTQmgZelHt/vnTNJtoQ4ePGjDhw9PtQ2aB1EXxvhpXkQtQ3MF/f777/bwww+7datYsaJbT+9K9ni0pLv55pvdumi+w3bt2tmaNWtSPS6afSRab62/tuOjjz6ya665xs4991z3/j/99NP2999/h12fr776ym699dbA+jzwwAO2YsWKuLWQ896vcO9PKK1jr169rEGDBm6/a3103Hz99ddhjylts9/ixYsDr/XLL78E3aepKHS79ms065/ZY0OfF43GrFKlins/9L4MHTrUHZsAgOyH+on6ifrpf6ifACDnYuQkAEQxYnD/fk7UAUA8fPjhh9a5c2c74ogjrHbt2laiRAkX6Lzzzjs2a9Ysd/9RRx2V5vP//fdfu+eee1wodOaZZ9p1111nBQoUsNmzZ1vHjh1deKWARnRfnz59bOzYsS6ECeWFmY0aNQrc9sUXX7h1uOCCC1xoo2UrWFIYqvX75JNP7MgjjwwEklOnTrW5c+e6ZZQqVcrdnt76ex599FH79NNP3XMUSoqWpX2jk48vvvhiquesX7/ePbZ06dJu2xTmTpgwwYV2Q4YMcescq8mTJ7vtU8iocGvJkiU2ceJEF4QpMC1btmxM+8jv5Zdfdvfrfa9Zs6Zbtpbz22+/2bBhw4Ieq9fu0KGDHXLIIa6V6XHHHWfff/+9NW3aNKIwMRwFippfcvTo0W5f6u+R2LFjh91yyy3266+/upOC9evXdyHs559/bi1btrTnnnvObrzxRvfYM844w4499thUoeU333wT+Lt37Hq0HzSK85RTTrFYRXts6LOi41+P1/4tVKiQm9aiR48etnDhQnvllVdiXhcAQPxRP/2H+on6yUP9BAA5F+EkAAAAkkrBYdeuXV0IoyDrmGOOCdynAFFXQL/66qv21FNPpbmM119/3YU7GrX2yCOPWP78+QOhpcKmQYMG2RVXXGEVKlSwE044wYUyGoGnUWn+8Eejw8aPH+9CNAVyHgU7LVq0sEMPPTTodRW4derUyY3CvPfee91tepxG1HnhpEK9SCiU1I9GHGo/KKgVhXG333672xeXXXaZC4389Dpt27YNCtWuvvpqa9WqlQ0ePDhT4aRG2GkORgWHHgXGGtGq8E3Lj2Uf+f3www9un3ut2vbv32/Nmzd3J5cUiCn4k127drmQVqGngtGzzz47sAytj9YrFnp/9KP9qDBP+zISClUVTCqgfPbZZwO333333S4Q1DFdq1YtK1myZOB1PvvsM1u9enUg1FU4WaZMGTcqVsevtlt0XG7YsMHt08yI5tjQ6FUFk7pfYaT3Puozof2uE+BXXnmlC2EBAFmP+uk/1E/UT9RPAJA70NYVAAAASaWgSS1Zn3zyyaBgUhTOKIRSqJMWrxWqQkd/MCkKWB566KHAySvP9ddf7/4MbfmqgGjjxo0uyDz88MMDt2sEW2joJmqRqSBzzpw5llkK8UTb4AWTor9rRIB8/PHHqZ6nUZb3339/0G0XX3yxC/sU7mWGwit/MCkKSk866SQ3KlX7KrP7SK18/XNIFSxY0D1H/OuvEaTbt2+3a6+9NiiYFAVwkYxMjRcdr+PGjXPb5R1fHoXdaturYFyBsscLAr3Rkgph582bZxdeeKH70QjFAwcOBD0mM8FytMfGe++9596/Ll26BL2P+jzpAgG1tFeIDADIHqif/kP99B/qJ+onAMjpGDkJAACApNLIOS8YVOvSUAp51C5z27ZtVqxYsVT3a5SZQiuFQv379091v0Ig73Geyy+/3IUwClvat2/vghd/WOmFlx6NbNN9o0aNcnMDqqWnfw4+f0gXq59//tmNCqxWrVqq+3Sb7tNjQpUvX97dF0phrbdvYxVuXfRaatuqeSe1PgolM7OPNFI0lDfa0D/fqLftasMaSsHkWWed5UYKJsPKlSttz549bl2KFCmS6n6FigMGDAh6v/zhpNrQKhzcvXu3u137TiMXFy1aZJUqVYpbOBnpsaFtWbZsmbs4QO1ew1FYn9H8lwCA5KF++g/10/9QP1E/AUBORjgJAACApPICqDfffDPdxynICRdOKpgUBSf9+vVL8/lqC+rRXHoNGjRwQZoCLbXc1P1Tpkxx8+1VrVo16Lndu3d3rVYV6lx66aVBowTVTlQj6TJLrWCLFy/urnwPpdu07d62+oULx7zn+MPBWGiexPRu1zpndh+FG/HoBWr+9fdeK3R0bUbrmgjeumjOy3C82/37R6NNNZJR7Wq9Nq4Kxb1wUnSb2tjqMSeffHLQiNJYRHpsKEjWOmzevDnizxAAIGtRP/2H+ul/qJ+onwAgJyOcBIAIFSjwv7aBBw+muB8AQPTUGtMLZhTORcsLtzQf48CBAyN+nuaDVDip0X4KJydPnuwC0JYtWwZGUsqWLVvcfInlypVzLdT8LVcV6Lz11ltRr3Na26HRoWrtGTraTaM/dV8yW5eKwqr0bvfWJxn7yP9a0axrInjr8ueff4a937s99P3ScaZjTqMUNTryjDPOCISt+rs+AzqO9V5rdG+yP4NaB3/7YwBA9kX99B/qp/RRPyX+M0j9BADxwZyTABABnWgtUqSQFStW2P0cffQRlj///05kAwAipzaWEq6layROPfVUd3Jg8eLFtnfv3qhalmok26RJk+yff/5Js6Xr2rVr3Siziy66KCh0k59++sk9N5Q372U0IxfVllQh5Pfff5/qPm8+wgoVKlgy6XVDaT28dfTmfoxlH0XLe61wrVs1amLJkiWWLGohrNG3es2dO3emul8jHyV0bkyvTeuXX37p2vH527bq7wsWLLCZM2cGPTYZChcubKeffrqtXr3atVAGAGR/1E//oX5KH/VT4lA/AUB85fpwsk2bNvbss8/G9Ny6deta69at475OAHIejajpP3yOdXp1gvtToygJJwHkZomsoW677TbXZvL55593IVcozYeX3tyJeq6WodFq3bp1c3NUhtJy161bl+r/cgWRalU5bNgwF3qdf/75rv2mnwJMLzxVMOfR6LauXbuGXaejjz7a/blhwwaL1A033OD+7NWrV1CYp+3XbdKkSRNLJo3umz59etBt7733nptvsmbNmoH5JmPZR7EcR0WLFrVx48almnuzb9++QS1UE03taq+55hr3mq+++mrQfb/99ptrb3vIIYfYtddeG3SfFzgOHTrUHaeh4aTCdbXA1bGpUZbJ1KxZM9d6t1OnTmEDV32+fv3116SuEwDkdNRP1E8e6ifqJwBAHm/rqiuRdWIjFvXq1XM/ACDrN/1lq9dvY2cAyBMSWUNpxFaXLl2sc+fOduWVV9oll1zi5ttTQPf7778HQsPBgwene/JPgdWHH35os2fPdsGO5iBUq8+VK1fawoULXcCn+ST9FE7279/fXnvtNTfyT61ew80feMUVV9jEiRPd/QrlNPfjrFmz3PJKlCiR6jl6fQVMvXv3dq+vlloa3XnrrbemuQ0Ku6ZOnWqff/65XXXVVW6faaS+5sFcv369XX311dawYUNLptq1a7t9q3XRe7J06VJ3LCh8feaZZzK1j2K5Ol1BZ4cOHeyWW25xx4peV6M4ly9f7kbChhvpmSgPP/ywzZs3zwXbGh2q19eoQ71/ag+sMD90zkiFuRp1qflR1bq3evXqQceMblPb2jPPPDPNuTUT5eabb3afk48//tjq16/vRsGWLFnSBcwKo7Wf27dv7z6vAIDIUD9RP1E/BaN+AgDk2XBSX7DDXU0PAACArKuhNCJQbafefvttFzCp7aXCKIU5ui90BFq4kWyDBg1y8/mNHTvWhXwacaiARyMhO3bsaBdeeGGq5+m+KlWquODlsMMOc4FXOD169LAyZcq44ElXvisU0zopuFNoGEoBjp6j7fFGyWl0YXrhpLzyyisu5Prkk0/c3I1y2mmnWatWraxp06aWbJr38MYbb3RzeeoEq0YDNmjQwJ1Y0sm2zOyjWCgAVdDbr18/9zp636tWrer21ZtvvpnUcFIB7ciRI92+0XylQ4YMca1eK1eubHfddZcL98LRcahwUi16/XNS6u+6TQFhskdNerp37+7mvNT+VMivUcXaTgXMeh8VoAMAIkf9RP1E/RSM+gkAkJZ8Kbo8Oxd76aWX3BX1ugJdbaEAIFZq6aqRk2VLFbPn2zW0bdt22f79kc8thrynYMH8bo5SjpX4Kl68sGutjMSihgIQz/opGajRcgfqp8SgfkoO6icA8UD9hGhRPyUG9VNi5foze5rvSFd062pmXZUMAAAAaigAAADOQQEAAGSNXN/W9b777nPtqH788Uc3r4rmItJcMGrjFUrzBL3zzjtZsp4AAADZCTUUAAAA9RMAAEAi5Ppwcu7cuYG/q4Ptn3/+6X7CUTgJAAAAaqicbsmSJW5ag0i0bdvWcrp169bZ6NGjI3ps8+bNrUiRIglfJwBA3sM5qJyN+ilt1E8AgHjL9eHksGHDsnoVAAAAchxqqJx/cq1fv355Jpxcv359xNvbqFEjwkkAQEJQP+Vs1E9po34CAMRbrg8nq1evntWrAAAAkONQQ+VsjRs3dj95RY0aNWzZsmVZvRoAgDyO+ilno34CACB58ifxtQDkUd9++62VK1fO+vbtm9WrAgAAAAAAAAAAslCuHznpN3/+fPvuu+9s48aN7t/HH3+8VatWzc4///ysXjUAAIBsixoKAACA+gkAACBe8kQ4uXbtWnvkkUds4cKF7t8pKSnuz3z58rk/K1WqZC+99JKVKVMmS9cTAAAgO6GGAgAAoH4CAACIt1wfTm7bts2aNWtmf/zxhx111FFWr149O+mkk1xAuW7dOpsyZYr98MMP1rx5c/vkk0+sWLFiWb3KAAAAWY4aCgAAgPoJAAAgEXJ9OPnmm2+6YPKaa66xZ555xgWUfp06dbIuXbrY+PHj7a233rJHH300y9YVyZv/UIF1mzZt7KKLLrLXXnvNfvrpJ3efWvx26NDBKlSoEHj8448/bqNHj3ZB9owZM+zDDz+03377zY24fffdd91jNm3aZAMGDLCZM2e6v+s4q1q1qt1///129tlnh12PcePG2UcffWRLly61f/75x4477jj3nFatWtmZZ54ZeNy+fftsxIgRNmbMGFu5cqUL1k8//XS7/fbb7frrrw9a5r///msffPCBe+z69evdc4sXL27ly5e3O+64wy688MLAY+fOnWuDBw+2JUuW2NatW61o0aJWunRpu+SSS6x169Yx7dvNmzfbK6+84vbTzp077ZRTTrEWLVrYiSeemOZzfv/9d3vjjTds9uzZgX1XvXp1e/DBB+20004LemydOnUC+6537942efJk27Fjh9tfDz30kNu+3bt326uvvmoTJ05026VldOzYMWjbAQAZo4YCAACIDvUTAABAZPJbLjdt2jQ74YQT7Pnnn08VTMqRRx7p7tNjFD4h7/jxxx/diNnDDjvMBX0XX3yxffXVV3brrbe6ubVCde/e3YVeCsIUbnpzlarl3Q033OBCwZNPPtlatmzpQs/p06fbzTff7AJLP4WLajOsIFxhY4MGDdx6VK5c2QV0Wgd/2Hj33Xdbt27d3N+vu+4691p///23C9x69eoVtGzd1qNHDztw4IB7rLarSpUqLgCdM2dO4HFaJ22DtlOh3Z133ml169a1ggULuiA01hE2TZs2dSOQy5Yt67bprLPOss6dO9vQoUPDPkehcKNGjVxIq/2qALVmzZou3GzSpEkgNPbTftA+/vrrr92+u/LKK13Aes8999jPP//sXnfWrFlWv359u+qqq+zXX3919ymsBQBEjhoKAAAgOtRPAAAAkcn1Iyc1KkutXA855JA0H6P7FDQRTuYtCrCefvppF+B5dAxo1KBG1H7++eeBeUll8eLFbgRl6Nykzz77rBvx9/DDD7sQzKOQU2GbAkMFlYUKFXK3K/zTSF0dc7qqUgG5RyMd//rrr8C/X3/9dRfC3XXXXS7QzJ8/fyCg08jPQYMG2RVXXOFGeiqw1Drr7wr7ChQokCo89Hz88ccuJNXIT42q9NNow1hoxKSCWgWd2mbPbbfd5kLLUNrW9u3b2969e23kyJF27rnnBu5bsWKFCyefeuopGzt2bNDz/vzzTxfkKpg99NBD3W0KNLV/FExecMEFYe9TQPrkk0/GtG0AkBdRQwEAAFA/AQAAJEKuHzmpUXFqL5kRPcYLM5A3aJSjAkQ/BdlqKbpq1apUoyfVbjU0mNywYYMb7ah2qArl/DRiUSP3FAr6g+/333/fhZ5qJ+wPJr2g/Nhjj3V/P3jwoA0fPtyN6vUHk6JjVW1M5dNPP3V/apkKHHWf/7GecPOp6vMRSm1go6WgUYGrRieHtoStWLGia6scSqM3Ne+rAkV/MClqxXrTTTe5EZ/Lly9P9VyFn/7Pa8OGDd2+U4vXtO7TsgAAkaOGAgAAiA71EwAAQGRy/cjJM844w80xqBFdocGSR/fpMeecc07S1w9ZR+FhuBBP4aTmY1SrUD3GExqgidqISrVq1VxL1FAaxaf5EfU4BXSaD1Fh2/HHHx80r2Q4Cki3b9/u5m3s379/qvv3798feJwo6Kxdu7YbpamWrpdffrmbw1JzY3qjNj1aF83XqABQbVG1nhrJqSA0FmpPu2fPHqtRo0aqwNXbpxp16rdgwQL355o1a6xv375ht99btj7HniJFirgw2E+jRBWqah3Sum/jxo0xbRsA5FXUUAAAANRPAAAAiZDrw0m1htQIOI3OUttNjaLyWnVqlNlnn33m2lGqTaYei7zDG6GY1u1qk5rR473HHHfccWGX5d3uPc77U+FkRhRMeiFdv3790nzcrl27An/v06ePaxWr0ZRe4KcrNxVAakShNypSweXAgQPt7bfftlGjRrm2qqKAXqM0NQ9lNLztymif+nntaydMmJDushXo+oWbO1YUDqd3nxfmAgAiQw0FAAAQHeonAACAyOT6cLJRo0b25Zdf2sSJE13o8sQTT1jJkiXdfX/88YdrR6mQUuGNHou8Y/PmzeneHhp0+eef9HiPSWtZmh/R/zjvz0hG8XmPveyyy1yQGInDDz/c2rZt6350fGsEqMLHMWPGuLnDNMekR8vVj8K/H3/80aZNm+bmw7z33nvd40899dSIXtO/rhnt03DPefXVV928mQCA7IUaCgAAgPoJAAAgEXL9nJMKlDSa7KmnnrJSpUq5EZK//fab+9HfdZvu0+hJ5C0aUat5HUMp0JOzzjorw2WcffbZ7s958+bZgQMHUt2vdsH+xx1xxBGuTd6mTZvsl19+SXfZCgfVInXx4sW2d+9ei5ZCeLV3HTJkiJtfU9sVOhrUWyeNlHzyySddMKnXmjVrVlSvpXVV61i1rw03x6u3T/28Nrmhc3sCALIHaigAAADqJwAAgETI9eGk5/bbb7cpU6bYzJkz7cMPP3RtLPV33ab7wo2KQ+62evVq++CDD4Ju0/GgIE3zPGoOxoxojsaaNWu6eRP9oxLlhx9+cO1Vjz76aKtbt27gdh1vGq3buXPnVEGeWo96owzVivS2225zoy+7devmwvRw86WuW7fO/X3r1q1uBGQojYzUzyGHHOLmX5Svv/7a/vnnn1SP9V47dI7KjGjZmsdS4Wfo/Jg//fSTjR8/PtVztE90cYDeg3BhqIJjL9wFAGQdaigAAADqJwAAgHjK9W1dq1ev7kaqvf/++4G5/iKZ7w+5X61ataxnz56u7W/58uXdaNovvvjCtUbt3r17xIF1ly5d7JZbbrEePXq4kK1ChQquhapaCefPn9+9hkYnem6++Wb77rvvXHDZoEEDF9IVLVrUtXr96quvrFWrVtaiRQv32DZt2rjRiArUZ8+ebTVq1HDzNypEXLlypS1cuNB69eplpUuXds+/6aab7LTTTnMjNTVyUmHhjBkzXMDZsmXLwHpondavX+8+HwoIFYQuWrTIBbNaltocR6tDhw4u9NQ8llovhbt6Xc0peckll7i2sX6HHnqomxfzrrvucttcrVo1K1eunAs6tf8U7m7bts2FmwCA5KOGAgAAoH4CAABIhFwfTmpOSY1uA0Kdd9559sADD7g5D71Rj2pvqpDtnHPOiXiHlSlTxj755BN7/fXX3WhcjfYrXLiwm89RbVIrVqwY9HiFni+//LILRz/66CMXUmrE5HHHHedu00hMf4A3aNAgN2/k2LFjberUqbZnzx475phj7KSTTrKOHTu6dRaFjJprUq+vHwV7GrWpUaCPPfZYUOCo9VIQq5axChS1TieeeKLdf//91qxZs1TzbUaiePHiNnz4cNciefr06S5U1Gs/++yzbt1Cw0lRkDtu3DjXelYhqvaHRneWKFHCnRRXeAsAyBrUUAAAANRPAAAAiZAvRf0lc7HGjRtbkSJFbOjQoVm9KsgmFNwpgNOoRIV5QKQ6vTrBVq/fZmVLFbPn2zW0bdt22f79qectBTwFC+a3YsUKc6zEWfHiha1AgTzTmT7LUEMBiGf9lAzUaLkD9VNiUD8lB/UTgHigfkK0qJ8Sg/opsXL9mb0mTZrYvHnzbOnSpVm9KgAAADkGNRQAAAD1EwAAQCLk+nDy1ltvtRtvvNGaN29ub731lq1evdr+/fffrF4tAACAbI0aCgAAgPoJAAAgEXL9nJNnnXVW4O+9evVyP2nRvHs///xzktYMyN6mTJliS5YsyfBxmk9SrWsAALkLNRQAAAD1EwAAQCLk+nAymik1c/n0m/h/NWrUsGXLlrE/IggnR48eneF+ql69OuEkAORC1FAAAADUTwAAAImQ68NJ5poEYtOzZ0/3AwDIm6ihAAAAqJ8AAAASIdfPOTl16lSbOXNmVq8GAABAjkINBQAAQP0EAACQCLk+nGzTpo0NGzYsq1cDAAAgR6GGAgAAoH4CAABIhFzf1rVYsWJ29NFHZ/VqAMgFSpUoGvQnAORm1FAAAADUTwAAAImQ68PJ8847z37++eesXg0AOVxKSoq1vqVm4N8HDhy0gwdTsnSdACCRqKEAAAConwAAABIhT7R1Xbdunb3++utZvSoAcrB8+fLZjh17bNu2Xe5n+/bdhJMAcjVqKAAAAOonAACARMj1Iyd/+eUXu+6666xv3742YcIEq1u3rpUsWdIOP/zwsI+//vrrk76OAHIGjZbcv/9gVq8GACQFNRQAAAD1EwAAQCLk+nDy8ccfdyOe1JLx119/tRUrVqT7eMJJAAAAaigAAADOQQEAACRGrg8nFTYqnAQAAAA1FAAAAOegAAAAslauDyd79uyZ1asAAACQ41BDAQAAUD8BAAAkQq4PJ0OtWbPGtmzZYkcffbSdcsopWb06AAAAOQI1FAAAAPUTAABAPOSJcHL//v32xhtv2AcffGDbtm0LtHvt0aOH+/uoUaPsww8/tK5du9qZZ56ZxWsLILsqUCB/Vq8CsoGDB1PcD5AXUEMBAABQPwEAAMRbrg8n9+3bZ61atbK5c+dawYIF7fTTT7fly5cHPeacc86xTp062aRJkwgnAYSVkpJiRYoUYu/ADhw4aNu37yagRK5HDQUAAED9BAAAkAi5Ppx899137dtvv7VatWq5kZLHHXeclS9fPugxGi1ZunRpmzN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      "text/plain": [
       "<Figure size 1800x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,6))\n",
    "plt.subplot(231)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2', subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  exp='elev_bands', border=border, xlim = 800)\n",
    "\n",
    "\n",
    "plt.subplot(232)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2', subplot=True,version='2025.6',rgiv='RGI70G',\n",
    "                                                  exp='elev_bands', border=border, xlim = 800)\n",
    "plt.subplot(233)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2',  subplot=True,version='2025.6',rgiv='RGI70C',\n",
    "                                                  exp='elev_bands', border=border, xlim = 800)\n",
    "\n",
    "plt.subplot(234)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2',  subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  exp='centerlines', border='b_010', xlim = 800)\n",
    "\n",
    "plt.subplot(235)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2',  subplot=True,version='2025.6',rgiv='RGI70G',\n",
    "                                                  exp='centerlines', border='b_010', xlim = 800)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- failing glacier area on pre-processing level 2 is <0.05% or less\n",
    "- when using RGI70G or RGI70C with elevation band flowlines, the L2 errors occur for only around 0.002% of the area \n",
    "- less glaciers will fail when using elev_bands than centerlines"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Here you can analyse the failing glaciers with the largest area and the type of error that has occurred!**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 225,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI60-10.00002</th>\n",
       "      <td>48.144</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-10.00002 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-10.00006</th>\n",
       "      <td>12.966</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-10.00006 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-12.01364</th>\n",
       "      <td>9.250</td>\n",
       "      <td>simple_glacier_masks</td>\n",
       "      <td>GeometryError: RGI60-12.01364 is a nominal glacier.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-19.01402</th>\n",
       "      <td>7.482</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI60-19.01402) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI60-19.01367</th>\n",
       "      <td>7.271</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI60-19.01367) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                rgi_area_km2               error_task  \\\n",
       "rgi_id                                                  \n",
       "RGI60-10.00002        48.144     simple_glacier_masks   \n",
       "RGI60-10.00006        12.966     simple_glacier_masks   \n",
       "RGI60-12.01364         9.250     simple_glacier_masks   \n",
       "RGI60-19.01402         7.482  elevation_band_flowline   \n",
       "RGI60-19.01367         7.271  elevation_band_flowline   \n",
       "\n",
       "                                                                      error_msg  \n",
       "rgi_id                                                                           \n",
       "RGI60-10.00002              GeometryError: RGI60-10.00002 is a nominal glacier.  \n",
       "RGI60-10.00006              GeometryError: RGI60-10.00006 is a nominal glacier.  \n",
       "RGI60-12.01364              GeometryError: RGI60-12.01364 is a nominal glacier.  \n",
       "RGI60-19.01402  InvalidDEMError: (RGI60-19.01402) DEM altidude range too small.  \n",
       "RGI60-19.01367  InvalidDEMError: (RGI60-19.01367) DEM altidude range too small.  "
      ]
     },
     "execution_count": 225,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr['L2_2025.6_elev_bands_RGI62_b_160_rgi_all'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 226,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>rgi_area_km2</th>\n",
       "      <th>error_task</th>\n",
       "      <th>error_msg</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rgi_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>RGI2000-v7.0-G-19-01800</th>\n",
       "      <td>4.820092</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI2000-v7.0-G-19-01800) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI2000-v7.0-G-19-01781</th>\n",
       "      <td>1.943465</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI2000-v7.0-G-19-01781) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI2000-v7.0-G-19-01909</th>\n",
       "      <td>0.457315</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI2000-v7.0-G-19-01909) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI2000-v7.0-G-19-02222</th>\n",
       "      <td>0.396692</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI2000-v7.0-G-19-02222) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RGI2000-v7.0-G-03-05085</th>\n",
       "      <td>0.282999</td>\n",
       "      <td>elevation_band_flowline</td>\n",
       "      <td>InvalidDEMError: (RGI2000-v7.0-G-03-05085) DEM altidude range too small.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         rgi_area_km2               error_task  \\\n",
       "rgi_id                                                           \n",
       "RGI2000-v7.0-G-19-01800      4.820092  elevation_band_flowline   \n",
       "RGI2000-v7.0-G-19-01781      1.943465  elevation_band_flowline   \n",
       "RGI2000-v7.0-G-19-01909      0.457315  elevation_band_flowline   \n",
       "RGI2000-v7.0-G-19-02222      0.396692  elevation_band_flowline   \n",
       "RGI2000-v7.0-G-03-05085      0.282999  elevation_band_flowline   \n",
       "\n",
       "                                                                                        error_msg  \n",
       "rgi_id                                                                                             \n",
       "RGI2000-v7.0-G-19-01800  InvalidDEMError: (RGI2000-v7.0-G-19-01800) DEM altidude range too small.  \n",
       "RGI2000-v7.0-G-19-01781  InvalidDEMError: (RGI2000-v7.0-G-19-01781) DEM altidude range too small.  \n",
       "RGI2000-v7.0-G-19-01909  InvalidDEMError: (RGI2000-v7.0-G-19-01909) DEM altidude range too small.  \n",
       "RGI2000-v7.0-G-19-02222  InvalidDEMError: (RGI2000-v7.0-G-19-02222) DEM altidude range too small.  \n",
       "RGI2000-v7.0-G-03-05085  InvalidDEMError: (RGI2000-v7.0-G-03-05085) DEM altidude range too small.  "
      ]
     },
     "execution_count": 226,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr['L2_2025.6_elev_bands_RGI70G_b_160_rgi_all'].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's just look at the level 2 errors for only RGI region 12 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/www/oggm/gdirs/oggm_v1.6 elev_bands /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/elev_bands/RGI62/b_160/L2/summary/\n",
      "/home/www/oggm/gdirs/oggm_v1.6 elev_bands /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/elev_bands/RGI70G/b_160/L2/summary/\n",
      "/home/www/oggm/gdirs/oggm_v1.6 elev_bands /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/elev_bands/RGI70C/b_160/L2/summary/\n",
      "/home/www/oggm/gdirs/oggm_v1.6 centerlines /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/centerlines/RGI62/b_010/L2/summary/\n",
      "/home/www/oggm/gdirs/oggm_v1.6 centerlines /home/www/oggm/gdirs/oggm_v1.6/L1-L2_files/2025.6/centerlines/RGI70G/b_010/L2/summary/\n"
     ]
    },
    {
     "data": {
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FUFpfRsHpn3/+6dpSn/tQ3t+HvMxo1Mgs7YNHQbvORXXeKdEsCpTVLkpEFqZIfy8B5A/iHuIe4p7kxz3hKP7Yb7/9XEzrp+93rdEdbrSyYgDv+z8/9y10W4q5vY49nR+KUzVISrfnR6ykQXyKkTSiXKPnVflE1znqsHrxxRfdsXjtEC5W0m06fsVT8a6bJ4pDu3fv7gbneT7++GM3qFLxsQZsebGS3quHH37YCpOSoBpVX7FixaB9BpA3xETERMRE6RETedXNqlSpYvlFA7W1pqBHySTFAxoUpQFCyaR+KvVlqpKCYiBvjV4NSlfyTQlGb1JAbv3I8VYZ8FN1M1W+8k8A0OsrvtJxewk19aNpcoQG9Bcm9cMqKan+XH9/bG5I9gEZRBd1unDSF4464v00nVqLzsZLX4BKUOhiURfJuigLFelLMdqXpQJRLZKrqdStW7fO0bHvp1Gq+rnooovsySefdNPcI1HiR5Rw0iw0r6SgLm51ManEYrSkjMoNar+VIPOXHVQSQX98lbBJxnOV0NPivEpSafSKKJGpqeaho4BicdZZZwX9X0k6JaE0ss9L9mm2kRYG1siRdevWBQU32g//l4uOI3T6ukbeeKNORNsuVapUdqLPo+STP9mnL2zNylLCVu+PShXptRJJPPtphJJ+PNoXle2INWDSfmzatCn7/5o1FilhlpfzKtrnMl5KunqJPi8oVZkEjdZWMKtEZDJ554jOJy/Jrc+i9kGdSkq4hY5miyTRTrtwiWHvs+Qloz1qY39J4YIWy99LAMlD3EPc4yHuSW7cE0pJq++++86Vugo3Oj4v3/F53bdwMYN/H1UGSyPMFbOocy8vg64iffcrPtRgOJXJ9I5HI9TVyaaOL1WEiKWt8tKOoR2OkWIlVaUozGSf2koDClUBQRUaFL8DyDtiImIiDzFResdEyRLaR6jB/urHUj9espN9Xn+ZBvOo389b+kb9V6pwpsFWipH83/mJ9CPnpmbNmkGJPq8Cg6rJhc6cU7/ljBkzrLAoqakKDOrDu//+++N6LmU8gQyhcjW6cFLyQQmQZHzBeB3Xb731litNGZqU80amhpuxo9vCjdQQzWhTaRsl77zZaLlR2RmtA6gv1Wi8fVICzb92mNpDo5yUEFGiKxIvCaaLcs2+8/9o5p5GrCTjufri1YgfrwSkZippBEwis/pEM9r8lPDwz67UNPVLLrnEtZ/W1VMpSI1G8mpYq6yQn2ZrhQYu2l9/eSFt25948oTeprZXCVC1v0atnHfeee5LX19o4dYtjFWnTp3cMWjE9O233+4SrJq96G9nL/kVrgSs1wZKxOUm0fMq2Z/LaO2d17UAox33iSeeGHS7/q9jUZkE0WfdP2rdT6OovMckKnSUu/c6oe3hnfeFIbe/lwCSi7jnX8Q9/yLuSW7cE0rPk3ADfHQOKj7U7LZwMYB3jubXvsUaK2n2W+g61cngHV/oujoqnS9erOQ9Lty1hOIaxVGaJZAIxe3+dQC9bYaLi8K1T0HRqH8NFtOgKK2jpLVzAOQdMdG/iIn+RUyU+jGRNyg4L7PYEo2H8qPfyOsPUiziJfr88ZDaRFXBYulHzkt/zkEh/aLeNsO1RV6W18krzShUf6YGoGngU7zHzMw+IEOCO104aS0tlYxRUiZZHdeabaY13vzlFz3eDDQtCK9p0H6qPx1uhpoSfZqZp9l7+mKNJ/mhfcptNphmkEWqee3NUor2mqqjrfs1xTtcO0Zr23ieqy9DzYibOHGiS76pXZRc0+iSRGiBW395UyW+/F+UmpGnWtUKarRAr8c/mile2rZKrIYKt66hEmReCQGV9FR5USUaddGfaK1sBW+aCSnHHHOM+wLX7DN9BpRMFrWJRvGoBKwCDH8CU2ViJZaOn0TOq/z4XIZrW++2/EhyaWSUyiBE4n0e9957b7cwdbh1OvX3QferPG+yeMeqYw933he0WP5eAkge4p7/Ie75F3FPcuMeP8VqKtutwWveNvy8eF8xgD95o9hUiS1vbe782Ld4YiXNtAtXVisZsZIG9UWKD71YSZ9VxUPhYiXdpjgq0TWFwl3bKFYK/Vx470th0HmkQXmaUaAlADTwD0DeERP9DzHRv4iJUj8m0mBmPVb7psRgfqzbFyke0uck2bz+oHCvGdpf5m8j/2w7nbeqOJZon2i0eChaP1phJPq8il+qTJZIdS5m9gFFnKYdK6GgZIcunJKV6FNCTh3XSsREWktBX56acTdp0iRXFsejC14ldFR32E/b03ZVVlId4vEk+rRNre+X2whQjWJSEk1fEv5RMjomBcL6YitXrlzE559yyinusVp/Q4mk0J/QRWTz8lzN4lMCTiU31IZqr0RH9Or5fkqm6cvSS+x5bR16frz88suWKJU+0IxBLQDtpzJJ0WhavS729SWfSGnZSHRe6XhVQtRfe1tT4xVYabaVv3RpPOI9r/LjcykqBeUPSvS50+LQev1kl/AUzU7TufPJJ58E3a7/69j9n0c9Vkllr/68aObmBx984ErCJrO8phKoomP3e//994NK6BaEWP9eAkgO4p5gxD3/Iu5Jbtzj9+GHH7rtdejQIez9mu2vDjR9D/qpeoViCP9M92TvWzhTpkwJqkShWESl9rWGdrJLePpLjYeLlcSLlfRZVTlRxUX+yhaacaAEWOh1U1551wChsVLo/wtyRp/iRA2AC60YASAxxETBiIn+RUyUHjGR+sQ0208Vr8Ltm/ra8lJmMrSPcM6cOa6fzD/4P5lUTlzxjV7HT/2dGmzlJToVF2kGXmgbqS9Hyddkx0NNmjRxpVdVTc0v2qD2/KKYT4k+lT3VjD5/1bB4MLMPSHO6KAq3aKhm0qksjC6cNKNJC8L/9NNPQY/RKAmvpIu2oT+amlHnX6Q1HH3ZaGq6Oq2VkPGPVlXS4qijjsr+/y233OLW3dOi9CoTqVKGWgdCz/N3eivg0MwXjX5R+c7QGWHappcQUdJGP4cffrj7otRjVfdZx9mtW7eg53lfBLpw9mhfdIGtx6qEotpAawRq8VOtWReNkjPav759+9r333/vvhg0ykYjcVRyRsel40zGc1XuRwkazXDUYxIt4ekdvzowVC5SX2SqOa518bx1Oho2bOhmE95zzz1uTREFwvry16yrROlcUnlOldDUYrsayaMv8tCARO2u9QlVA12P0chqndd6bW9tE9GXfZ8+fVwglmhbaGafyikowaaEsmhkkNpEa0RqX7Rt7Ye+YFV+UyOzJLc1Q2I9r77++uuYP5dKHCqJqNKmDzzwQK7Hp9mjnTt3doGhzi2VMFUCcsiQIXG1k/4eqGysLF261P3W4smigMObManPoGrR63XUPirBoES+zi99Zv3rwGiBY7Wl3lO1ld5nrbHprWPjp/UkFfAqUZzIotQKFPW+qva7znutI6j3WP/fd999k1LGWO3j/e1V0KoA3GsjtY8XmMXz9xJA7oh7iHtiQdyT/3GPR99xGrEduvaLf8S01n5RbKB/KxbVd6iSOto3/6jtRPZNiTCVOlIsofgrN4oLunbt6n60XcUi+h6P5bl+6hTyOoYUp2vkvRcH6Ji841I8rySe1m/W66l8la4DVMFCtyvJ6NE+qINQnY9XXXWVS4JpjV/Fd7qe8lNnkNbdSzRWV4ej1ucZNGiQO/66devaN998k93GyYiVtH/r16/PHoCmuMlrI3UmegPhbrzxRhdD67h1jvhjJcXEoevoAPgXMRExUSyIidIzJlJfima3aX/Vp6P4QIO4FW+oD1QD89u1a5ddJlzbUGyh2WAaeJ8bxSLqg1U/nI5VfUaasBGpPzOv3/WKY9THqL4g/aivUwk8JUjVZ6h28+I0vVda0kkVubSWsCZ2DB482LWXVwbdo0kTeh1VKUtE586dXSU1xV2KR1S+UxMU1K8luVWPi4XXHsuWLctue6+ahLcWpPrKFc8qptT5qf/7lwJSe8U6gJ9kH5DmtM5XOOok1ywfrbWmP7b6AxbK/yWgjmr9YfYWTo1Go19FfxD146cObv2x9mj7o0ePdhequoBTAkIz3PSH2z+bSUkgvbYSlBdffHHY4/E6/fUFqNlZ+iOo9TU0xV1fckqghK7d5Z9R6NEXpEppKul41113uZk+SjJqbQhddOdGs3M02mT8+PH20ksvuf3W6+qCWTMZk/VcfakoYabAQzW781LORl/8+tFr6uJdM6mUdPTeA3UijBo1yl3w64tV75OSTPrCV6IpEdqGzjF9UXnr0SkQeeSRR6xjx47Zj9OoHb0nShgpyBCVdNQXvjd93V9CIVyd7VipjfVlqvKoSrR5JQqUjFSnh84LdcboS1UJT53PSsoqaa1OkGhiPa/i+VzGe8x6X/X5UHJRM+jUjmp7fT7ioY4zJVb9FJBJaOJR55GCQgW2zz//vAta9Xq9e/cO+owryNN7rHNM760+m+rwUlCmpKGfjlvBXqIzWUVJYbWb9ktJZ70XahclY/OyXY/ea29NzdA28iek4/l7CSB3xD3EPbEg7sn/uEcUa6jElAbhaTBNJOrYUkeZXk8D9PT9rME/ujYIFe++xRsraZCSBhppMI62rQFCioE1KC8eXsn5cHFAaOJR8Yceq+sXHZNi/y5duuQY7KR4SHGR/s5pW96AJT0ntPKIRvTnJSbWdYauMRTTKeGpaypdj6gz7cILL0xKrKTPoToBPfq3939/vOvFStof/fjlpQMPKOqIiYiJYkFMlL4xkWKB448/3n0Pqm9Opbc14UGxiwYtaTKBPx5Sn1usa++qn07JTPXbaHCRvpOV/It3+ZdYv+u1XfUHKc548MEH3f4edthhbrJJaPUjLXuiGEh9yRr0r+fqNr1XobGQ5CUeKl++vOvH0n5o8oP6MTXDUok/9VtFey9j5cWHHr33+hFv0JYGkHnJQPXJhop1UJtkBfKrPgYAAEmkL0jNdAtNmBRlCgB0EafReLEGbUWBRmwpSFZwlUwqGaHBBGrTSKPtAABIBZkY9yRCHUYqtaTynImuaZduNBNPnWcacKXkZTJp1L06NjVAUMk/AAAKGzFR7jTzr1KlSm6iRabQpBElbpW0jLakUiI0gF8z/DQQPlnL7hQUZvYBAFKexqVodJBGAWUSBRaa3ZhJiT6V0VBpCpVRyAuNqlM5Ko3CU+efRkxpZFi1atWy188BACAVZWrck2ispPLlmZLo80rCayS6Sn7lhTqxtJa4yoxrpp/KZ2qWgWYykOgDAKQCYqLYBgGpDKmqKGVaKWOV+cxrom/48OEurlI1Oc04nD59uluSR7Mw0y3RJ8zsA4A0pPKfuZVcVekBwE+lRaNRR08yapKngu+++86Vplq4cKEr76BStSojqzIVoeV+PV4542hUTiIZ69gAAGJH3IOCkkmxkspnqvyW1mfWQCuVwVLpql69emWvHx2KWAkAChcxEfJbpn3Xjxo1ypUL1QAoxYEaIK6Zklp2J9IxpvLnkGQfAKQhb/HdaPzrHAKS24in0PX4MnF2gBZFjsa/Hh8AoGAQ96AgqGyq1qyOJp41U4oidYaFruscyr9GDwAguYiJkN/4rs/dHXfcYRMmTIj6GG89voJGsg8A0pBGnKxZsybXxE46TjlH/pk3b17U+zX7LZMTxCp/sXjx4qiPUfuonQAABYe4BwVh+/btuXbMqDqASj1lqg0bNrikaDTVq1ePODMQAJA3xETIb3zX506xkNopmqOPPtoKA8k+AAAAAAAAAAAAIE0VjWLzAAAAAAAAAAAAQAYi2Qcg4RrOKhOZWxmXcObMmePqjP/111857rv88svdT6rS8eq4dfz5RdtX+yDvQs+nv//+27Wt1mYLpdvV9uvXr6fpY7Bq1Srr37+/XXbZZda4ceOon4uPPvrIbrvtNjvrrLOsTp06ua4dGK685v33328nnnii1a1b19q2bWtPPvlkjkWjP//8c7eOzGmnnWYNGjRwj7/uuuvs+++/D3qcnvf000/blVdeaSeddJLVr1/fTj/9dHvooYdy/F3atm2b3XfffXbssce6x2qtTC1Y7bdixQpr2LChe30AEOIk4qR0QJyUv9atW+fWdNH6dYo1LrroorhihWXLlrk1AhVnKc7o2rWr/fDDD2Ef+84779g555zjSkadcMIJLkbbsmVLjsfpNt2nx+ixeo6eG2rKlCku3mrUqJFdc801rmxcKN2u+A4AIiEeIh5KB8RD+Yt4qGCVKODXAwD75ptvXIf5eeedZ/vtt19Qi9xzzz0Z30Ljx4+3ChUqZHw7JEPo+aRkn849dZyo4wWJ++2332zSpElWu3ZtO/nkk+3tt9+O+NgPPvjAvvvuO/fYPfbYI2JHVTg7d+60K664wpYsWWI9e/a0atWq2aeffmoPP/yw63i68847sx/70ksv2caNG61Tp052xBFHuMStknrqXBszZowdd9xx7nH//POPS+6eeeaZdsEFF7g1+H788UcbOXKkS0y+/vrrtvfee7vHKqmo/b/33nuzk45Vq1Z1nWMe3demTZvs7QNAXhAnRUeclDzESfm7/l+XLl3cIKL//Oc/dsABB9gLL7xg3bp1c7FJ06ZNoz5fMcwll1xiZcqUsQEDBthee+1lo0aNch2Sr732mh122GHZj33rrbfs1ltvdTGNBj0pZtIApoULF9rYsWODtnvDDTe4NZxvvvlmF1Mpfuvdu7ft3r3bDcqSpUuXuts0KKpJkyb22GOP2e23327jxo3L3s7kyZPt22+/tXfffTfpbQcAQjwUHfFQ8hAP5R/ioYJHsg+As2PHDsvKyrISJQr3z4I66DOdZiQli2Yw6WfPPfe0ZFPirGTJkpbK0uV8itaWSkx5iadU+myr8+eLL75w/1anUbRknxJkxYr9W0ygX79+cSX73n//fZcoVHJOCTVp3ry5bd261XWaqSPM6/BSkK7OND/N7tPz1EHmJePUntOmTXNJPo+SvxUrVnQJRb2ml8z7+OOPXceaZguK9mX69OnZ92s0/Ny5c+nsAoo44qTUQZyUPMRJ+ffZfvXVV+2XX36xl19+2c3K82INxQ+DBw9290ejQUobNmxwz69cubK77ZhjjrHWrVu75NvQoUPdbYrzH3zwQTdTT/GWqBpBqVKl7JZbbnFxjAZlif49c+ZMN2BKA568x65cudJto127dla8eHGbMWOGe82bbrrJPWafffZx8ZYXkyqBqQSkEoDlypVLarsBSG3EQ6mDeCh5iIeIh44tQvEQZTyBDKQShiqjN3HiRHvggQdcZ7jKuGimjnz22WfWuXNnV7ZFJWc6duwYU8kZXTyqZJ5K3Wl7p556qt19991BZRHVYa8/ntKqVSu3H/rxyir6p88rkFTnvEaqhtIf1Xr16tnAgQOzb9Osm0GDBlnLli1dqT8dl8rUKCmQG5Xle+KJJ6xFixZu39u3b++OJ5ayomo3jaJVQkHtpde99tpr7eeffw6732pzHbv2Ucd31VVXuZG30cp4rl271rWl2lbP0zFqhppmPYWWGNVMpMcff9w9RsfiJWTCUbLk0ksvdfuhYFEjevV8tb2f2kCdArNmzXLng46zb9++cbV7rK8VasGCBe64/COHVZZRt51xxhlBj1W7673z77f3/ql9vGSP2s4791ReKbTEgEYzq0Pl+OOPd+/tpk2bLBaxfHa8cqFKeN14440uaabPiqgNVRJJpZPOPfdc9/5pX0UdRvp86fFe2aUJEybE/NlWQtF7n3SbRpSrraIl6aLxknfJfmy4sr/qhNO573fKKae4UehTp07Nvi000Sfq7Dr88MPt999/z75NgZs/0efR3xSvRKm/jKc/EasAT7eJF9zpHEml4A5A3hAn5UScRJzkIU6KjeKT6tWrZyf6RAnFs88+2w0SClcWM/T5Sg56iT4pXbq0u95QFQLvGkCz63Sd4I9/RYOUFLP44yRVKtBt3gAmj567Zs0aN6DJG4Wvx3n0b/0N0O2iWYMaaBX6mgCKFuKhnIiHiIc8xEOxIR4qeMzsAzLYI4884pIuWo9KnfHqKH/zzTfdqAQlo5QY0EWpygOojMtTTz0VtUydSr7oglYlZPbdd1+3jpXK1Gjkg8r9qXyf7vvzzz/tueeec0mMgw46KOJIGj1eF8Qa0aoZO7rA9ShBoQ537yJTiQytHaZOeiV8lPBQkkgjX5UkUdkZJQwiGTJkiJv5o3J/SrxoOyoPqESULtSj0cXx/vvv78rhqMNfx6ckzIUXXuh+e7OOlBRTW6hdVMJHySAlxJRA00W6EhLh6D61m96j7t272yGHHOJKWqjkoLblT3iK2lZlefQ+qs0OPfTQqO+ZknhVqlRx7T1//nyX9Fy0aFGO7Wo/lHjVvmtki/YnnnaP57X8jjzySHeeKGmmddW8pJpG0vz666+us6R8+fKu08NLRoZz8MEHu1HS2v8OHTq4NpXQJI3KG2kkjx6jY9DoZ4m2jxLvZ8d7He2vPzGqJKCSv0rsqa2UaFIb6XH6jKoUlBJVKtmkROUff/zhEsa5fba1/3pOr169XDlNvXc6PpW99Cghqv1XiV0lC1OBPoM6htAR995s1XBJdT8lalWiUyO1cuMlxv1/j/Q3TWU91S56n1S2SmVCRSPz9VglZgEUPcRJ/0OcRJzkIU6KLU5SPKyBY6G8dYt1v+LXcDRiXHGzZvGFe77u13p+ukbRdvzb9SjW1jWId7/3mrreCI2p/PukAWuKfRTLqgqCjkFxrJ6n5Rdmz57tYl79AMgMxEP/QzxEPOQhHiIeejNV46EAgIzzxRdfBGrUqBG49NJLg27funVroGnTpoFrrrkm6PZdu3YFzj777ECHDh2yb3v99dfdNpYtWxb2NXbv3h3YsWNHYMWKFe5xU6dOzb5vzJgxEZ972WWXuR/P/Pnz3WPHjx8f9Djty3nnnZf9/1GjRgVq1aoVmDt3btDj3nvvPff86dOnR2yPjRs3BurWrRvo1atX0O3ffPONe65/f7TPuk3HH8nOnTsD27dvD7Rp0yYwYMCA7NuHDx/unjtz5sxANHrMY489lv3/u+66K9CgQQPXln5PPfWUe+yCBQuC9q1169bu9eOl91nv2YQJEwK1a9d27eJRG2jbn332WdBzEm33aK8Vzi233BJo1apV9v+7dOkSuPPOOwNNmjRx25DZs2e715wxY0bQfvvfv3Xr1uVoX49u031PPvlk0O333ntv4Oijj3bndCTxfHa813n00UdzbKdFixauPRYtWhR0+0033eTO0ZUrVwbd3q1bt0D9+vUDf/31V9TPtpx55pmB66+/PhDN8uXL3ev36dMnEA+9/7l9Ljz33Xefe2ysxo0b5x4/a9asoNuHDh3qbr/iiiuiPv/mm28OHHXUUYF58+ZFfdyqVasCxx9/fKB9+/buffOsXbs2cP7557vX0s9VV10V+Pvvv93+1KtXL7B48eKYjwVAeiBOCkac9C/iJOKkeOKkOnXquBg+1Jw5c1w8MWnSpKgxiR6jODuUnqf7tB0ZOXKk+/+aNWtyPFYxkq5HPPp3uLhp9erVbhtPPPFE9m2PPPJIoGbNmu725s2bu+uibdu2Bdq1axcYMWJErscPIP0RDwUjHvoX8RDxEPHQtpSOhyjjCWQwb/0rj2aLaZaPRqtqlpT3o1J5KgeodbmilcTUNHaVmtS6EEcddZTVqVPHlcUUf5nKeGikqbbzxhtvZN+mban8zfnnn599m8rZaAaYZiz5913rV2hm2VdffRXxNVT+RmVpvFljHs2M8pfOiUSvoxlqmqWlMpY6dv1esmRJ0HF/+umnbsadSkPGQ+uDqYyPZqb5j80raxh6bCrTqNG8sdCMJ83I0/bVdmprzU7T+h/af78yZcrkmJ0WT7vH81qh9LoawawfzejUqGKdk9qWyq16s/002yvcKOp4qP1Cz0G9ps7vSBL57IR+/vyvFzqbVDPO1AZaU85Pr6cZenr93Lat0p2ffPKJK72kkiwaFR5K57veJ5WmTBUq96qZs/rbovJSKp2pmb2awSrRZuxqPRvNKlaZTX0mI9F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S96uoqEhvvPFGg7YNAKChGBMBAAAAlI+SCfvef//9dPTRR6dPP/00dejQIS1YsCB9/PHHaZdddslVfjNmzMghXzxu0aJk3jYAQA3GRAAAAADlpWTW7Lvuuuty0HfGGWekxx9/PO2zzz453Lvjjjtypd9NN92UNtlkkxz03XjjjY3dXACAemFMBAAAAFBeSibsGz16dOrUqVM6/fTTa31+jz32SL///e/T2LFj09ChQxu8fQAADcGYCAAAAKC8lEzYN3369LTtttvmar7QrNn/vbX58+dX7dOlS5fUs2fPdP/99zdaOwEA6pMxEQAAAEB5KZmwr2XLlmmNNdaoetyqVat8/+GHH9bYL7bHWjYAAKXImAgAAACgvJRM2NehQ4c0derUqsebbbZZvn/++eertkWVX0zjud566zVKGwEA6psxEQAAAEB5KZmwr3v37umtt95Kc+bMyY+//vWv56k8L7zwwnT77benUaNGpcGDB6cPPvggdevWrbGbCwBQL4yJAAAAAMpLyYR9BxxwQNpwww3Tc889lx936tQpnXzyyemzzz5L//M//5NOP/309Nhjj6XWrVuns846q7GbCwBQL4yJAAAAAMpLi1Qi9thjj/TII4/U2PbDH/4wbbfddunhhx9On376adp8881T//7908Ybb9xo7QQAqE/GRAAAAADlpWTCvmX9dXvcAADKmTERAAAAQGkqmWk8r7rqqjRy5Mjl7hdr98W+AAClyJgIAAAAoLyUVNg3YsSIFQr7rr766gZpEwBAQzMmAgAAACgvJRP2raiFCxemioqKxm4GAECjMiYCAAAAKA1lF/ZNmTIltW7durGbAQDQqIyJAAAAAEpDi1TEFl97b9y4cUtdjy/+en3ChAnpxRdfTD179mygFgIA1D9jIgAAAIDyVfRhX0zJWVlZme8j7HvzzTeX+ZqWLVum008/vcHaCKWic/v1GrsJQBHwu6JxGBMBAAAAlK+iDvsitCuEfVdffXXabrvtUp8+fWrdd4011kgdOnRIe+21V9pggw0avK1QzOLf2OnH7tnYzQCKxMKFi9KiRZWN3YyyYkwEAAAAUL6KOuwbPHhw1c9/+ctf0h577JHOOOOMRm0TlKII1WfN+jx/gc+Ka968WVp33Zb6ro70X/H2XQR9wr7SHRO9++67+Y+r+vXrly655JI6H2ebbbbJU6vfeuutK/yaE088MT3//PNp/Pjxq739P/vZz3LfjRw5MnXp0iU1JbNnz05XXnllGjVqVJo6dWqenv7ee+9Ns2bNSv3798+fdfVroKE999xztbZjdXxeAAAAQImHfdXFlx91NXTo0PTUU0+lW265ZbW2CUpJBAYLFgj79J1rr5j4d1ueinlMNGTIkDwlaZx/9913b5Q2NEW/+tWv0p133pn23Xff9O1vfzs1b948z1QRYR8AAABAyYR9q+Ltt99OY8aMaexmAAA0+TFRTIv+wAMPpDZt2qzSueIYsZbyyrj00kvT559/nurDj370o3TyySfn99fUPPbYY2mzzTZLv/vd72psnzhxYmrK6vPzAgAAAP5N2AcAwAqLdZC33HLLVe6xuhyjU6dOqb60b98+35qi6dOnpx49eqRiU5+fFwAAAPBvzar9DAAAy13zLtbbizXuqq/NFttiLbnrr78+HXDAAalr166pd+/e6bLLLktffvnlEseJ/eN1Bfvtt1+ewjPE+m/xfNxi++LnqS6OHev+nXTSSenrX/96Pm9MAXrKKaekF154YYU/zXg/cex4f9XbVGhHbbfqfRDmzp2brr766nTIIYeknXfeOXXv3j23+fHHH6/TVVV4v5WVlXntu8J5q/fb0kyaNCn99Kc/TXvttVfuk7g/++yz0zvvvFNjv9tuuy0f85577qmx/aabbsrbe/Xqlc9fXUwnGsdb0fZXF+cpnC+qSOOz7tatW+6r+MwmTJhQ67FWpm9jjcO4lg4++OB87Ljtv//+uXrzjTfeWG67AQAAoNio7AMAYLU466yzcsC29957p3322Sc98cQT6YYbbkgzZsxIF1988TJfG6HPyJEjc6jVr1+/1Llz57x9edOFfvrpp+miiy7K4U8EUG3btk0ffPBBPlasPxihT/XAcGVEmz777LMltj/66KPp9ddfT2uvvXaNdkT4NH78+BxGHXXUUWnevHl5Cs4Isc4777x07LHHrtT5ox969uyZ30P0RzwOhb5ZmrFjx6ZBgwalOXPmpD59+qQtttgiT/k5fPjwvKbjsGHD0g477JD3jTAvPPPMM+mwww6rOsazzz6b72fOnJnf07bbbpsfT548Ob3//vs5dFsV0S/RlvjMjjnmmBzyRXD36quvpvvvvz+1a9euTn0bweT3vve99I9//COHfLFvrHE4derU9Nxzz+UKye23336V2g4AAABNjbAPAIDVIqrG/va3v6X1118/Pz7zzDPToYcemu69995cVbXhhhsu9bUDBw7MwVoh7IvqvBWx3nrr5dBn8bX2pk2blg4//PC8blxdw75o0+JGjx6d187bdNNN0w9+8IOq7RdccEEOo37xi1+kE044oUaVWQRVEUj27dt3mX2wuEL4Vgj7Bg8evNzXRNgVFXxx3iuuuCJ985vfrLFOYnwm8fx9992XKioq8nSq0aYIwgqiQjNC2z333DO/3wgCC2FfIQQshIR1NWLEiPT73/8+7bHHHlXbLr/88jR06NB099135/UT69K3b731Vg764nFUAlYX7yteAwAAAKXGNJ4AAKwWP/7xj6uCvrDOOuvkCrBFixal1157rV56ec0111wi6Aux7cADD8zTWUYl2uoQQVIEfK1bt86hVKH6LCoXoxotKsmqh1Eh9j3jjDPydKOPPPJIqm8vvfRSruLbbbfdagR9IR7vuuuu6Z///GcOxAoiWI1wNF4XorouQrEIXSPUjLCvYHWFfdGW6kFfiCq8wvkL6tq31asuC6LCL8JhAAAAKDUq+wAAWC1ibbjFdezYsWoqxvoSVV8xXeiLL76YPvzwwyXWCIwgq1OnTqt0junTp6dTTz01H/u6665Lm222WdVzEU5F1ViEmkOGDFnitRFYhUKYVp8Ka9ItLYyL7dFPb775Zp76tLAtKjIjyIspP6sHerGuXjy3YMGC1KJFi1wB2KVLl3xriGtlZfv2q1/9atpuu+1ym9977708jWkEnHG+CIYBAACgFAn7AABYLdZdd91aq6lChDX1ISrUBgwYkI8f007uv//+uaKwWbNmeUrQuC0e/q2suXPnptNOOy2vBfjrX/86V81VVwinXnnllXxb1nHqW2GNwaVNF1rYPmvWrKpthQq7CPmOO+64XMkXoVnsG4HfnXfemdcBbNWqVfr444/TkUceWS/XSoSJi18rK9u3cb3dfPPNeQrPhx9+OH9ehSrAqFSM6WTj+gAAAIBSIuwDAKBoxfp58+bNS7fddtsSIdy5556bw75VEcFTBESvv/56Xu/u4IMPXmKfNm3a5Pvjjz8+n7MxFdry0Ucf1fp8VD5W3y8UKvWiau+LL77IAWoh0IuwL9b2iwAwArPCtoZSl76NqTrPOeecfItpXOMauOOOO9Ktt96a5syZky6++OJ6bjUAAAA0LGv2AQDQJEQ13spWAU6ePDmvE7h40BfHiPXrVtVFF12UHn300XT44Yfn6r7a7LjjjjkQe/nll1NlZWVqTDGFZYjgrjaF8HP77bevsT0CvE8++SSHYhGeFqr9Yl3CrbfeOlf9Fab3jDX+Gsqq9m1MtxprAUYYHBV9I0aMqJd2AgAAQGMqmbDvjDPOSOedd16dXhtreZx++umrvU0AAA2tmMdEEdqFqVOnrvBrOnfunKd6fOutt2psv/baa9M///nPVWrPsGHDcjVYBF/nn3/+UvfbYIMN0re+9a1c/RfTR9YWVkb7YgrM+hbr022++eY51Fs82HrooYfyGnxbbrll6tatW43nCtV6Q4cOzaFrz549azwXYVu8tjC9Z0NZ2b6dMmVKrZ97TFs6f/78tPbaazdIuwEAAKAhlcw0no8//nj+gqou+vbtm28AAMWumMdEUTEWVVxXXHFFmjhxYp7CMaaOjHXklqZ///7pqaeeSscee2w66KCD8rpyMQ3luHHj0r777pur8uoipru89NJLc3uisi2mC62tiq7QX//93/+d3n777TRkyJB0//33p+7du6e2bdvm4DLCqPHjx+e1777yla+k+hTtjXYPGjQoDR48OLcvwr/oz5EjR+b+LLyv2sK+CM26du1aY029CDtjHbxY+/DQQw9NDW1l+jZ+jsB6hx12yJ9b+/bt83uK9x5h38knn9zg7QcAAID6VjJhX8eOHfMXEAAA5ayYx0RRNRbrqd144425qi7eR1TuLSvs6927d674ijAugqA111wzV61F+BOVbXUN+2Iqy0IVWQRdtenXr19V2Bfh2B//+Md8i3Y8+OCDOVyKKriopIv3EOFTQ9h5553TXXfdla655po89eaoUaNyOBbrDUYQFlNbLi7aGf3/r3/9a4k1+Xr06JFatGiRFixY0KDr9RWsTN9GUHnqqafmysYnn3wyV31GCLjTTjulE088Me29994N3n4AAACobxWVjb2wyGpy2WWXpT/96U/5S5311luvsZsDJeeTT+am+fMXNnYzikqLFs1S27at0syZc9KCBSu+/hT6z7XXuNq1a5WaNy/emc6NiaD+DL3r2XTKEb38t30lGRPVnb5bNfqvfMdDAADlpmRGbvFXyhtvvHE66aST0tixYxu7OVBS4m8C2rRZOzVrVnPKLwCaHmMiAAAAgPJSMtN4nnbaaWmNNdZIr7zySjr66KPTBhtskDp16pTWWmutJfaNNUqWNh0TkGr9N9O8eUUO+xYtKoliYICSZUwEAAAAUF5KJuyLdTmqVyF9+OGH+ba04AIAoBQZEzVtzz33XI3PaGnatGmTBg4c2CBtAgAAAIpbyYR9t9xyS2M3AQCg0RkTNW0R9F111VXL3a9z587CPgAAAKC8wr6ePXs2dhMAABqdMVHTNnjw4HwDAAAAWF2arbYjAQAAAAAAAA2qZCr7qnvppZfSmDFj0rRp0/LjDh06pB49eqTu3bs3dtMAABqMMREAAABA6SupsG/KlCnpxz/+cRo7dmx+XFlZme8rKiry/c4775wuu+yytPHGGzdqOwEA6pMxEQAAAED5KJmwb+bMmal///7pgw8+SG3atEl9+/ZNm2yySQ783n333TRixIj08ssvpwEDBqS77747tW3btrGbDACw2hkTAQAAAJSXkgn7rr/++hz0HXLIIencc8/NgV9155xzTjr//PPTfffdl2644Yb0k5/8pNHaCgBQX4yJAAAAAMpLs1QiRo0alTbaaKN00UUXLRH0hdatW+fnYp+o8gMAKEXGRAAAAADlpWTCvvfffz917949rbHGGkvdJ56LfaICEACgFBkTAQAAAJSXkgn71lprrTR79uzl7hf7rLnmmg3SJgCAhmZMBAAAAFBeSibs22qrrdJzzz2XpkyZstR94rnYZ5tttmnQtgEANBRjIgAAAIDyUjJh3xFHHJHmzZuXBgwYkO6///5UWVlZ9Vz8/Le//S0/9+WXX+Z9AQBKkTERAAAAQHmpqKyeihWxeBtnnnlmeuihh1JFRUVen69jx475uVijb/78+Xmfgw46KF1xxRWN3VwoSjNnzkkLFixq7GYUjRYtmqW2bVvpN/3n2isy7dq1Ss2bF+/fQxkTQf0Zetez6ZQjevlv+0oyJqo7fbdq9F/5jocAAMpNi1QiIuC78sor0x/+8Ic0bNiw9O6776bJkydXPd+lS5c0cODAdPzxxzdqOwEA6pMxEQAAAEB5KZmwr+CEE07It2nTpuVb/HX7RhttlDp06NDYTQMAaDDGRAAAAADloWTCvp49e6atttoq3XbbbflxhHsCPgCg3BgTAQAAAJSXkpmAPdbkiwo+AIByZkwEAAAAUF5KJuzbfPPN08cff9zYzQAAaFTGRAAAAADlpWTCviOOOCK98MILady4cY3dFACARmNMBAAAAFBeSibsO+6449KRRx6ZBgwYkG644YY0adKk9OWXXzZ2swAAGpQxEQAAAEB5qaisrKxMJWC77bZb4X0rKirSG2+8Ua/tgVI0c+actGDBosZuRtFo0aJZatu2lX7Tf669ItOuXavUvHnx/j2UMRHUn6F3PZtOOaKX/7avJGOiutN3q0b/le94CACg3LRIJWJlMssSyTcBAJZgTAQAAABQXkom7LNWHwCAMREAAABAuSmZORlGjhyZHn/88Xo9x7vvvpu22Wab9LOf/WyVjhPHOPHEE1fqNbF/vK4+2h+PY3s839TMnj07XXDBBWm//fZL22+/fW7nm2++mZ577rn885AhQxq1fUtrx+r4vACgqY6JAAAAAGg6SibsO+OMM9Itt9ySilWERREORXjEv/3qV79Kt956a9p6663TKaeckj/nDTbYQBcBQImOiQAAAAAo02k827Ztm9Zff/16PUeHDh3SAw88kNq0abNKx4ljtGzZcqVec+mll6bPP/881Ycf/ehH6eSTT87vr6l57LHH0mabbZZ+97vf1dg+ceLE1JTV5+cFAI09JgIAAACg6SiZsG+XXXZJb7zxRr2eY4011khbbrnlKh+nLsfo1KlTqi/t27fPt6Zo+vTpqUePHqnY1OfnBQCNPSYCAAAAoOkoqWk8Y825a665pt7OUduad4W12RYuXJiuv/76dMABB6SuXbum3r17p8suuyx9+eWXy12zL9aju+qqq/LP/fv3z8/HLbYvfp7q4tgxxeVJJ52Uvv71r+fz7r777nm6yxdeeGGF31dta/bFuQvtqO22+Lp/c+fOTVdffXU65JBD0s4775y6d++e21zXNYMK77eysjI9//zzVeddkbUOJ02alH7605+mvfbaK/dJ3J999tnpnXfeqbHfbbfdlo95zz331Nh+00035e29evXK569u3333zcdb0fZXF+cpnG/MmDH5s+7WrVvuq/jMJkyYUOuxVqZvY43DuJYOPvjgfOy47b///rl60xe/AOWhIcZEAAAAADQdJVPZ99Zbb6VDDz00r30X02T26dMndezYMa299tq17v+d73xntZ7/rLPOygHb3nvvnfbZZ5/0xBNPpBtuuCHNmDEjXXzxxct8bYQ+I0eOzKFWv379UufOnfP25U0X+umnn6aLLroohz8RQMW0XR988EE+1lNPPZVDn+qB4cqINn322WdLbH/00UfT66+/XqNfox0RPo0fPz6HUUcddVSaN29enoIzQqzzzjsvHXvssSt1/uiHnj175vcQ/RGPQ6Fvlmbs2LFp0KBBac6cOfka2GKLLfKUn8OHD0+jRo1Kw4YNSzvssEPeN8K88Mwzz6TDDjus6hjPPvtsvp85c2Z+T9tuu21+PHny5PT+++/n0G1VRL9EW+IzO+aYY3LIF8Hdq6++mu6///7Url27OvVtBJPf+9730j/+8Y8c8sW+zZs3T1OnTs1rQUaF5Pbbb79KbQeg6WvsMREAAAAADatkwr6oNKuoqMiBx7/+9a+lVknV1xdbUTX2t7/9rWqNnDPPPDN/0XbvvffmqqoNN9xwqa8dOHBgDtYKYV9U562I9dZbL4c+i6+1N23atHT44YfndePqGvZFmxY3evTovHbepptumn7wgx9Ubb/gggtyGPWLX/winXDCCTWqzCKoikCyb9++y+yDxRXCt0LYN3jw4OW+Jj77qOCL815xxRXpm9/8ZtVz8WVnfCbx/H333ZevlZhONdoUQVhBVGhGaLvnnnvm9xtBYCHsK4SAhZCwrkaMGJF+//vfpz322KNq2+WXX56GDh2a7r777rx+Yl36Nr7cjaAvHkclYHXxvuI1AJS+xh4TAQAAANCwSibsiy+q4outxvLjH/+4KugL66yzTq4Ai9Dltddey9M/rm5rrrnmEkFfiG0HHnhgnuIzKtFWx/pxESRFwNe6descShWqz6JyMarRopKsehgVYt+YSuw//uM/0iOPPJKOP/74VJ9eeumlXMW322671Qj6Qjz+wx/+kF588cUciEU1ZIhgNULaeF1UAUZ1XYRiEbrGFGgR9kWl4OoM+6It1YO+EFV40a9x/oK69m1tlRtR4RfhMAClr7HHRAAAAAA0rJIJ+y655JJGPX+sDbe4mDKrMBVjfYmqr5guNEKsDz/8cIk1AqPKb1XDvunTp6dTTz01H/u6665Lm222WdVzEU5F1diiRYvydGGLi8AqRJhW3wpr0i0tjIvt0U9vvvlmVdgX2yLsiyAvwr7qgV6sqxfPLViwILVo0SJXAHbp0iXfGuJaWdm+/epXv5q222673Ob33nsvT9u266675vNFMAxAeWjsMREAAAAADatkwr7aptX8+OOPc7Xd5ptvXu/nW3fddWutpgoR1tSHqFAbMGBAPn5MO7n//vvnisJmzZrlKUHjtnj4t7Lmzp2bTjvttLwW4K9//etcNVddIZx65ZVX8m1Zx6lvhTUGlzZdaGH7rFmzqrYVKuwi5DvuuONyJV+EZrFvBH533nlnXgewVatW+Xo68sgj6+VaiTBx8WtlZfs2rrebb745V5M+/PDD+fMqVAFGpWJMJxvXBwDlpaHHRAAAAAA0rJIK+6ICK9aUu/3229PMmTOrprK6+OKL88/33HNP+tOf/pR++ctfpq233joVu3iv8+bNS7fddtsSIdy5556bw75VEcFTBESvv/56Xu/u4IMPXmKfNm3a5PuYRjLO2ZgKbfnoo49qfT4qH6vvFwqVelG198UXX+QAtRDoRdgX06BFABiBWWFbQ6lL38ZUneecc06+TZo0KV8Dd9xxR57Sdc6cOVX/FgAobeU2JgIAAAAoZ81SiZg/f3466aSTclVTVHhFdVZlZWWNfWI6w5dffjlXPTU1UY23slWAkydPzn+lv3jQF8eI9etW1UUXXZQeffTRdPjhh+fqvtrsuOOOORCLfl28vxtaTGEZIrirTSH83H777WtsjwDvk08+yaFYhKeFar9YlzC+AI2qv8L0nrHGX0NZ1b6N6VZjLcAIg6Oib8SIEfXSTgCalmIfEwEAAABQpmFfVC5FyBPTWY4aNSrdd999S+wTwU1UcY0ePTo1NRHahalTp67wazp37pynenzrrbdqbL/22mvTP//5z1Vqz7Bhw3KfRvB1/vnnL3W/DTbYIH3rW9/K1X/xpWJtYWW0L6YPq2+xPl1MTxah3uLB1kMPPZTX4Ntyyy1Tt27dajxXqNYbOnRoDl179uxZ47n4MjReW5jes6GsbN9OmTKl1s89pi2NL37XXnvtBmk3AI2r2MdEAAAAAJTpNJ5//etfU9u2bdOVV15ZNeVibeKLrbfffjs1NVExFlVcV1xxRZo4cWKewjHeR6wjtzT9+/dPTz31VDr22GPTQQcdlNeVi2kox40bl/bdd99clVcXMd3lpZdemtsTXwbGNGC1VdH17ds3//zf//3fuU+HDBmS7r///tS9e/f8WURwGWHU+PHj89p3X/nKV1J9ivZGuwcNGpQGDx6c2xfhX/TnyJEjc38W3ldtYV+EZlHpUH1NvQg7Yx28WPvw0EMPTQ1tZfo2fj799NPTDjvskD+39u3b5/cU7z3CvpNPPrnB2w9Awyv2MREAAAAAZRr2xfpkEdos60utEKHIiy++mJqaqBqLdXRuvPHGXFUX4VJU7i0r7Ovdu3eu+IowLoKgNddcM1etRfgTlW11DftiKstCFVkEXbXp169fVdgX4dgf//jHfIt2PPjggzlciiq4qKSL99BQ6wHtvPPO6a677krXXHNNnnozKhriC89YbzCCsJjacnHRzuj/f/3rX0usydejR4/UokWLvPZRQ67XV7AyfRtB5amnnporG5988slc9RnX+0477ZROPPHEtPfeezd4+wFoeMU+JgIAAABg5VRUNvZCa6tJVDzF9IvVq9C23XbbHEpFiFYQoUdURC1tXTdg6WbOnJMWLFjxdSXLXYsWzVLbtq30m/5z7RW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      "text/plain": [
       "<Figure size 1800x600 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rgi_reg = 12\n",
    "plt.figure(figsize=(18,6))\n",
    "plt.subplot(231)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2', subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  exp='elev_bands', border=border, xlim = 400, rgi_reg=rgi_reg)\n",
    "\n",
    "\n",
    "plt.subplot(232)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2', subplot=True,version='2025.6',rgiv='RGI70G',\n",
    "                                                  exp='elev_bands', border=border, xlim = 400, rgi_reg=rgi_reg)\n",
    "plt.subplot(233)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2',  subplot=True,version='2025.6',rgiv='RGI70C',\n",
    "                                                  exp='elev_bands', border=border, xlim = 400, rgi_reg=rgi_reg)\n",
    "\n",
    "plt.subplot(234)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2',  subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  exp='centerlines', border='b_010', xlim = 400, rgi_reg=rgi_reg)\n",
    "\n",
    "plt.subplot(235)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level='L2',  subplot=True,version='2025.6',rgiv='RGI70G',\n",
    "                                                  exp='centerlines', border='b_010', xlim = 400, rgi_reg=rgi_reg)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 228,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rgi_id\n",
       "RGI60-10.00002                GeometryError: RGI60-10.00002 is a nominal glacier.\n",
       "RGI60-10.00006                GeometryError: RGI60-10.00006 is a nominal glacier.\n",
       "RGI60-12.01364                GeometryError: RGI60-12.01364 is a nominal glacier.\n",
       "RGI60-19.01402    InvalidDEMError: (RGI60-19.01402) DEM altidude range too small.\n",
       "RGI60-19.01367    InvalidDEMError: (RGI60-19.01367) DEM altidude range too small.\n",
       "                                               ...                               \n",
       "RGI60-10.00027                GeometryError: RGI60-10.00027 is a nominal glacier.\n",
       "RGI60-10.00026                GeometryError: RGI60-10.00026 is a nominal glacier.\n",
       "RGI60-10.00023                GeometryError: RGI60-10.00023 is a nominal glacier.\n",
       "RGI60-10.00100                GeometryError: RGI60-10.00100 is a nominal glacier.\n",
       "RGI60-10.00069                GeometryError: RGI60-10.00069 is a nominal glacier.\n",
       "Name: error_msg, Length: 853, dtype: object"
      ]
     },
     "execution_count": 228,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfserr['L2_2025.6_elev_bands_RGI62_b_160_rgi_all']['error_msg']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- In RGI region 12, ~12% of the glacier area can not run when using RGI62 even in pre-processing level 2. The reasons are glacier masks errors because many of the glaciers in RGI region 12 are \"nominal\" glaciers. Nominal means here that the glaciers don't have a glacier outline but only a location and area and hence can not be run with OGGM.\n",
    "- **With RGI70, these errors got removed, and there is basically no failing glacier area anymore in region 12**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analysis for Level 5 pre-processing directories! \n",
    "\n",
    "In pre-processing level 5, we distinguish between:\n",
    "- no spinup (`per_glacier`), per-glacier spinup (`per_glacier_spinup`) and regional spinup (`regional_spinup`)\n",
    "- W5E5 and ERA5\n",
    "- RGI62, RGI70G, RGI70C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 234,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/www/oggm/gdirs/oggm_v1.6 2025.6 W5E5_per_glacier elev_bands /home/www/oggm/gdirs/oggm_v1.6/L3-L5_files/2025.6/elev_bands/W5E5/per_glacier/RGI62/b_080/L5/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 2025.6 W5E5_per_glacier_spinup elev_bands /home/www/oggm/gdirs/oggm_v1.6/L3-L5_files/2025.6/elev_bands/W5E5/per_glacier_spinup/RGI62/b_160/L5/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 2025.6 ERA5_per_glacier_spinup elev_bands /home/www/oggm/gdirs/oggm_v1.6/L3-L5_files/2025.6/elev_bands/ERA5/per_glacier_spinup/RGI62/b_160/L5/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 2025.6 W5E5_regional_spinup elev_bands /home/www/oggm/gdirs/oggm_v1.6/L3-L5_files/2025.6/elev_bands/W5E5/regional_spinup/RGI62/b_160/L5/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 2025.6 W5E5_regional_spinup elev_bands /home/www/oggm/gdirs/oggm_v1.6/L3-L5_files/2025.6/elev_bands/W5E5/regional_spinup/RGI70G/b_160/L5/summary/\n",
      "19\n",
      "/home/www/oggm/gdirs/oggm_v1.6 2025.6 W5E5_regional_spinup elev_bands /home/www/oggm/gdirs/oggm_v1.6/L3-L5_files/2025.6/elev_bands/W5E5/regional_spinup/RGI70C/b_160/L5/summary/\n",
      "19\n"
     ]
    },
    {
     "data": {
      "image/png": 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Sr/Xll19G9FpaVk1trunVd+/eHXKb+vKmcdd+AAAAyM5i9YX5N99847qUq/N5mzZtrHPnznbJJZfEZBlzomBhUSCWHnroIXeMbdy4kQ0LAACQCai1EhO1FjIbtRYAALHBtOMAgAxZu3atvfXWW3bjjTem3DZ79mwXFCxXrpxVq1Yt3ecoWbKk1a5d2+bNm+c6ULZv3z7lvm+//dZ1JipSpIjVr18/5Xa93uOPP+5+NEW4ApYeTY2t6cY1Tbemym7btq2bHrxPnz726KOPWr58+fxef8OGDa4jZ+nSpW3btm3uv6tWrZpq2m79HHXUUZYnTx532/z58123JHXKDNahUkHKSOi5r7zySnv33XftlVdecVOce5YtW2Yffvhhqr/RNilVqpTbBwoNBAYHFIxdvHix1apVK6JlAQAAiUcXXUydOtWKFi2a1YuS1NTZ/MiRI/bss8+Gda6aCJJ532u5Iz0vzi5UhzRr1sxOPvnkrF6ULJVs26Fhw4auHixRokRWLwoAAIiTZD7fTiTUWvFFrZU8NUZmodYCACAxEL4EAGTIxRdfbP369bMvvvjCKlasaOvWrbNZs2a5QKKmbww2zXgwvXv3dp2HnnnmGdcxsnLlyvbbb7/Z9OnTLXfu3O411F3S06pVKxcqVDCzcePGLoR43HHHuanIv/rqK7v11ltTQpzqZqRukgo1zp071wURFcxUSFJTg3///ffWv39/F77U319//fVWvnx512lTnS/V6VJfHGn68w4dOqQsh5Zp06ZNVrNmTReAVNDzhx9+cMFTPVfTpk0j3p7du3d3oc6RI0e65VIgQK+rL1Lq1Kljn376qd/jFSTVFBsdO3Z061yjRg3XFUZBTm0/hVe3b9/uwpsAACC5KcCmcxRkjLqnSzIFq5J53yfrcsdCsWLF3E9Ol2zb4dhjj3U/AAAg50jm8+1EQq0VXzn5mE22GiOzJNt2oNYCAGRXTDsOAMiQc88910aPHm379+93XSsVwtT02+PGjbPzzz8/7OcpU6aMvf/++9a6dWv79ddfXfhQIcxLL73Uxo8fb5dddpnf4xXqfOGFF1wAUtOBK4Sp5fj6669dIFSdNH0DisOHD3dhUIUiP/nkExs1apQLOebPn991mNQyi0KU99xzjx1//PFuunNNN65Onlq+l156ya8bpaYXV6fJX375xSZMmGDvvPOOCzredddd9t5770U1YKdCWevbokULtx20TitWrLAnnnjCryOoLwVVp0yZYrfccov99ddf7rW1LKtWrXLB0BdffDHi5QAAZF/6/5uC+grvK+h/++23u/9feFO66remHQp3yis9j27T8+r/mbqIQR3D9Jy6qEAXNmSELuzo0qWLu8BA5x06V9BFEYF27tzpXlcXZYSi5dfFIurcLRMnTnTLrt+6qKNdu3auq7UuftB20f+LA61Zs8aef/559/9qXdBRpUoVa9CggeuwrQ7aoaZwUmdtnX80adLEzj77bNdZTedLHv378ssvdx1XNOWbzgHS2neBdA6icyN1l9NzVK9e3Zo3b24DBgywf//916Kddm737t321FNPuXMebd/rrrvOnUOJuoLrwpm6deu6dbrmmmtS7gukZdC54rXXXuu2sfZly5Yt7YMPPkh3Wbz11kUv+tG/vZ9g2yIU3/0tunjHe55opjMOd5svWLDAevXq5S7M8db96quvthEjRriO7eFIa9/Lrl273PmizoO1L3Qs6ZhSh89I3v+RLK/3eaELj8R3v/h+hui/9d4LpAucdAGU3rNaZi2HLigKdgxF814Nl47xwYMH2xVXXOGeUz96f957773uAq5g2041x8033+xeXz+6CGr58uWpntv38zFwu2kb6WKpHj16uM8SbQN9rnz22WcRTQUX6tjwtrs+g++77z674IIL3HGq19CFXbGgeuPOO+90n8/6fNDsBEuXLg1rO4iOHdVUushMn6Wq4XSRnWYB8F2PSZMmpXrPBh5TughOF92prtNz6fPrySefdBeyhfp/2T///OP2vY5B/Y133AZ+VvjSPtOFgzpGtM+07/T/PdWvvnRBovZto0aN3LbRcaXHqW4EAGRf1FrUWuGg1koftRa1FrUWtRa1FgAgmdD5EgCQYQpZjhkzJs3HKCSpn7SceOKJbiArXApgaoBbP+lR90wN8OsnLYULF3aDdvpJjwba9RNrxYsXd0GGUAOcwahzk4KhvuHQUAK7Z8biPgBA8lF35GHDhrn/jysQp8ENr0tFNHTxgC5w0ECSnlPBLgV8Vq5caZMnT3YXQ0RKIUkFcXbs2OECfl6X7U6dOrkwoC91wNb/lxWWUXhMQaPA51LQR7efeuqpfvcpzKn/zym45l0IMmfOHNc5+uOPP/brIqBAjbpp63m0nnny5HGhKwULdeGILiY55phjUq2LzoMUStKFJQoYzZgxwwWDtF1+/vln+/DDD919el7d17dvX9epWyG69Kxfv96F0TZv3uzCVZp2SiE5dfh+7bXX3AUa6oodKQWT1PV7z549LpykkJoueFHYTRd6PP744+4+hZB871Pncl3Q4vs8ul2hujPPPNMF+bTd1JFc5y7a3gophaLn0rmZF0hV6M2jwF64KlWq5J5HIWEdl9pmOvcT73e4Itnm+m8dfwox6v2hbaaB+eeee84dYwprZoS3nxRmVIBQwU/v+FJY+JFHHgnr/R/p8nrnzQrGKRTre/6sbZ0WhUXV9V4XMWn76RhSeHnatGluXRT4VdA3UCTv1XAonKrg5DfffJMSjtOxuWXLFrfOChWqG76v7777zm27iy66yIUNvc7/CoXqwq1wp7LXNlNtoovD9J5QgFyfmXfffbd7nsDPsGjoObWddVGY9rOOEW1jBeP1eR/q4q5w6HNPgVwFC7UeCiXOnDnTPadC1aeddlqaf6/9puCllk3HmWpBfdZrn7799tvuc15CvWd9P2MUWNUFdKLPKk09qGNCAWT9f0n/fwo2HaGC/Xqcwp8K0esCvLRo3992221uu2r/6LX0/tBn+NChQ9373qNgsWZG0PtItZqOeV2oqGCz3pf3339/hFscAJBMqLX+Q60VHLVWaNRa1FrUWtRa1FoAgGRD+BIAAAAAciAF33TRgwJMnmi6/3kUKlFHL9/OmArUKZCn4Ew0FywoPKYwzqOPPupCTh49nxfM8aWQkcKXXjjSl8KCojBnID2fQkReJ2wvOKPO2QpTKmzjUUhK4aLAMKke17NnTxf2UaAo0E8//eQClgpUigJm6oKpQFvRokWD3qfXDyd8qRCPQoDq2qa/9aWub0cffbRFQ3+rQJq2hbe+Co6qi54CkNrGwe5Th08FjDyvvvqqC16qq6Hu10Ux3oCjglVaT62vunkHo3CaglVe9zsvZBUpBQL1o9CbglxaBz13NCLZ5upIqdfRhUO+oT8dLzpetRzaztHS66lLu95r3r7QNlIgTqFgvfcCA4HB3v+RLq9CcHodhZq1TSPZL+oYquCl3rN6PY/ea1puvfcVsDzppJOifq+GQ+9LBS8VvPPttiiHDh1yoeJAClmH+kzSNlK40XfbhaLtpm3mG1pVeFZhUK1jLMKXunBL7y118Pfed9pGCmJqHyj06htijIQCj7pgTJ00PQpNKpStC/N892sw+v+FjisdowrW+/LtIqxtlNZ7VuFHvQ8PHz5sb775pt+xruNCx4eWSaHiQHpeffaGE9rV51W3bt1c8PLll19O1WVZgV1feu1TTjnF7zYFoxVEV7hWx0/g8Q0AyD6otf5DrRUctVZo1FrUWtRa1Fq+qLUAAMmAaccBAAAAIAdSCC1Y8CpawaYk9zrXqbNYpPTl6rx586xs2bJ2ww03+N2noFSwjofqoKcAn7qv+YZ3FJpRJzYFbPS3gRRO8w1ziTrgBVt2dWcL1sVTASR1vNQyB3PXXXelhCtFASJ1HVQ3NE3bG3ifAkTqppbetNRaPnXW0fS3wbrYqaO2uq9FS50pfddX20odErXcoe5TSMqjQJS6zpUsWdIveCn6W03tLAoOJotIt7mCkYFhPP23N6AU6piJhILOvvuiSJEiroOiBJs6Oa33f2YvrwJoU6ZMce8Xb/97ypUr5z5L9J5Vx9yMvFcjUaBAgVS3qQOmOuoGSuszSR0Ng027HYxCj/pc8KWOvurQqM7BsaB1CHzfaf9qG3v7IVr6jPINXopCnTr2I1n+/Pnzp7otkg6m6mypkL6Cq4EhY3Wi1HbWxQGafj1Q165dw34tdVxVd0+FLgODl6LPOF+BwUvR56MCxwr2Bk7BDgDIXqi1/kOtFRq1VmrUWtRa1FrUWoGotQAAyYDOlwAAZCJd3b1ixYp0H6dBwcDBSwAAMpOCirGkIFogr6uXOoVF6scff3S/FVD0DQ55FHRS57hACrZommV1SVSnRe//xwpjqqNcsOBklSpVwl52dWpTkFOBNnXNUwhRAUNPsICPBE5d7IX0Qt2naWoV0Pnrr79c4DMUL+SkrpPhdNuLhDobBnaZU5hLYaV9+/aFvM93GyiMpmCUQnWBnQXFC5fqccki0m2uznzqBqrjUNN579271+9+Tf+cEQq7Beuc6QWUvfdSuO//zF5eTc2u40fLF2y6d3V8HDJkSNDljuS9Go7TTz/dhSMU/lUXxPr167vPHL1OsM+KcD6TdO6vx6RH3R71ngk2sKRwbyxo2yhsGWxZJZw6JZRg+0LhQk3drc/F9Fx55ZUuKK/wbNOmTd1+V3gycGAtPd5xEqxTqN4bmjpe+1brGvhZGsn/BzXluBeQDYf+n6Num+qUqq7SOuZ9hfp/BQAge6DW+g+1VnDUWsFRa1FrUWtRa6WHWgsAkIgIXwIAolKrVi03jR3SpkFrb4rMtGgAlPAlACCefDstxsKxxx6b6jYvWOQbTgzX33//neZyhrpd3c80lbemHvfCl5pyXCE5r0NeoGABMK9zYeCyP/30026aXAWE6tat69cJc/To0a6bXDDq8hfqNdK6L9TzebyQU1oBzVjuU2/Z0rrPt1ungpdeuHLw4MFpBv6SRSTbXPuvXbt29sMPP7iwnQJnmmZe20nPo+mZ1eUxI/R8wUJ8Xrg32NTZod4/8Vhe773tLV+o5fYeF+17NRzabnrfKhg8Y8YMNxW3955s3ry568zpO4V8OJ9JwZY7mGDr4q1PNOuS1jJldFkzY/kbNWpkw4YNs5EjR7owuz6nvYCGunUGdjjN6PEULBAa6m/Seh0F49OjIHDLli1d6FPBaNV52l463nSb6sOMvo8AAImNWus/1FrBUWsFR61FrZXWZyq1FrUWtRYAIFERvgQAIBP169fP/cBf8SKF2CQAkMWCdezzOgyEmuo6nG5msR6M+vPPP4PeH+r2ggUL2jXXXONCYgsWLHBT+Gp6V3VF03TBGaEulOPGjXPTq7/99tt+oSx1xHz99dct3rzBzETtoubtx0svvdQFrbKDSLa5pkRWkFHTMfft29fvvm+++cYdpxm1fft21yU1MIC5devWkOHeUB0747G83jHhLV8g7/ZQA9KxpqnFe/bs6X7U6VPdK/X+VshaoeBnnnnG7/HpfSZlxnJ7+0v7OVBaA5BZsayR0OeCftRdVZ0lNbW3tv0dd9zhOgyfdtppGf5/RVrHUyTdgr2/D6fz64QJE1zIskuXLtapUye/+9RlNZyL8wAAyY1aK3LUWpGj1qLWCnVMUGuFj1or/c8Yai0AANKXep4kAACATKRwSvMGZ9uhQ4ft8OEjbGsASMBQ2ZYtW1Ldp+55CibFizcV99KlS4N2UQs25bindevW7re6X6qbmv7fE6rrZSQ2bNjgluWiiy5K1Q1v2bJltn//fsuqKQ3nzZvn1jPRKDyl8N/y5cvtwIEDGXouhYODhc8SeZuvX7/e/W7QoEGq+5YsWRKT5VFYWsHIUO+RYNPax3J5vdB2uPtGU9ArJK1poIN15VRYOtLljpVTTz3VfVYoZK33uLrYB0rvM0nTmGdGQFQ2b96c6j599oSix2vK63guazS0rdXpslevXi54qc8KTdcdeIwF2+7eOgT7f4LeG19//XVMjqeqVau6377LFcq6desy/X0PAEg+1Fppo9aKHLUWtVYgaq3IUWtRawEAEAuELwEAQFzpatJdu/bZjh17CV8CQIJRSE4DOAoX/fLLLym3K1Sl7m/xDBdqWu/atWu7wOdbb73ld58CUWmFL8uXL2+1atWymTNn2vvvv2/HH3980BBMpEqVKuV+a/v4Bs3UefDJJ5+0rHD22Wfbueee6wJYmj45kDoUhOpkGg+agrht27au80afPn2CTrWrgdZgAbFggyLa1hkNccZzm3vHzOLFi/0es3LlShs+fHjMlql///5+21bTvQ8ZMsT9W1Mehyua5fUGq4KFtoPJly+fm85cHRsHDhyYKrSmjpNHHXWUXXXVVZbZdOz9/PPPQbv8agr2AgUKpLovrc8kDXZWq1Yt0wK/7733nt/tq1atSrMbqT6nNJW6b2hR6+xtY+2HrDJ//vyg/0/xuqoooBvOMabP9iJFitiUKVPs+++/97tP70+t7yWXXGInnnhihpa3Xr16rpOypqfX/1sC+S5b6dKlgwYttc6B+xAAkHNQa6WNWity1FrUWoGotSJHrUWtBQBALDDtOAAAiDu6XgJA4urYsaPrPtamTRtr0qSJ5c+f33WiUxCpYsWKLoQVL4899pi1atXKnnrqKfviiy/c6yucpaDTZZddZp999lnIv73hhhvcciusd9ttt7lBiIwqXry42ybTp0+35s2bu3CoQm7qhKawTYkSJSwrPP/883bTTTe5gOzUqVPt/PPPd2GrNWvW2FdffeV+vE47WaFz5872448/uk6kc+fOdcHYE044wYWsVq9e7QJTCg96gaVQNHW8psS+88473TpqnyroVr16dUvUba4plcuUKWMjR450IT9NWa+gqaZXVphLx1IsjksFUq+44gr3nAp+6nkVeNUyRhIGjGZ5tV8USOvatavVrVvXfWaceeaZ7rlC6dGjhwumKTioEGuNGjVs27ZtNm3aNDcF9RNPPOGCbplN4UVNC125cmW3zHoPa8pLTb+uzzx9dgS6+OKLrV+/fn6fSbNmzXJBzaeffjqiqazDVb9+fdeVU1NWK+SnAUJ1tdRy6j5tt2C0//T+UgBXn1cKvOqxCpc+/PDD6b7nMpO2oabmrlmzpgtbKDyg97dCrFqupk2b+h1jOib1/wR9BqtT5kknneTCo4UKFXLbvVu3bi7orft1n55L3Wm1T3U8ZZQ+bwYMGGC33nqr3XPPPa5TZ5UqVVyA9KeffnLHkte19eqrr7bXX3/dLZdu0/ros27OnDnWqFGjmLzvAQDJiVorNGqt6FBrUWsFotaKDLUWtRYAALFA+BIAAAAAkKJly5ZuKuVRo0bZpEmTXMcxfRndvXt369KlS1y3lMJGCuwpmKcwm0I5ChO98sorLqiVVvhS3dC07AoZxWLKcY/CdgqnKcD05ptvukFCdejToJfCb1nhlFNOcfvqtddecyE5dbVT1zgtp6bw9e0glxUUWlLXxIkTJ9rkyZNdYGzfvn2uI6mW/cEHH3RBpvTcfffdbn9qvy9YsMCFHbXdsyJ8Ge42VzBM3ffUfVDHrzpK6rju2bOn68YXixCWtq/er3qfKJynQLCWTyFVhdEiEc3y6v2lEJ1CqEOHDnXhT4WT0wpfqlPhO++8Y8OGDXNdBN944w23zc477zwXSrjooossHhSe0/7SuipEvXPnTndcKtyo4KrWOZC6nupYVNdO7XfR8avPSD1fZlCgVfv42WefdZ+FCqyeccYZbp/rcy5U+FL36Rh97rnnXBfgPXv2uL/TNr788sstK2m7K7S6fPly1xFSoVUFbu+66y5r166dHXvssSmPVaj3/vvvd10jFWpUMFahTa9zpz7v1Y1Ux59CsVpPfTbrIgLtq1gF4zX1uN73+jzT8aIAsd4z6niq5faoy6aODe0fhS/1WIV7X3rpJStatCjhSwDIwai10katFTlqLWqtQNRakaHWotYCACAWch3RqBoAAEAcbd++xw4e/G/6Q8Rf3ry5rWjRQuyLBMC+iF6xYoUsT57cMdwbyE7UZaxZs2YuFKVgFwBkhEJ0CgUq8KvOh4lOQXUFFL2AKHKGngOn2tpN2+P6mqeWKmp9uzajrvDB+X3iYF9Ej1oLaaHWAhBL1FpIBvGutaizUuPcPrGwP6JHrZU9MVIJAAAAAMh2RowY4Tp4Rtr5DwAAAABArQUAAAAA4WDacQAAEHd0qouPw4ePuB8AyCl+++03N+3ymjVr3NSwmgJYU6YDAJATlCpxXI54TQBA/FFrAQBysnjXPdRZAJBcCF8CAIC4UheywoULstXj4NChw7Zjx14CmAASxsSJE23Tpk3pPq5SpUrWoEGDiJ9/w4YN1r9/fzv66KPt4osvtieeeMJy5coV5dJmL6NGjbK///473cdpmuJatWpZsti1a5eNHj06rMc2b97cSpcunaO2T040e/ZsW7FiRbqPK1WqlLVo0cJyuo0bN7qwejhuvvlmK1y4cKYvE6Kvszq1qZ1ldQcXfQFA1qLWyjrZtZag1kIgaq3IUGtlH1lVa1FnAUDyIHwJAADiSiGYV8bPs01/7GTLZ/KVkfpCIHfuXAyEAkgYCvgsWrQorJBcNOFLDWStWrUqyqXL3saMGRNW8LVz585JNyA4ePDgsB6rwc5Q4cvsun1y6oBgOGFCHQ+RhC+T7fMl3GXVcR/ue0ifzYQvE7vO2rVrnxugizc67gNA1qPWyjrZtZag1kIgaq3/odbKebKq1qLOAoDkkeuIovoAAABx1HPgVFu7aTvbPBOdWqqo9e3azLZv32MHD6b+UiBv3txWtGihkPcjftgX0StWrJDlyZM7hnsDAAAgeXFunxg4v08c7IvoUWsBAAD8h1or63Fun1jYH9Gj1sqeGKkEAAAAAAAAAAAAAAAAAACIAOFLAAAAAAAAAAAAAAAAAACACOSN5MEAAAAAAAAAgMSTJw/X2cfL4cNH3A8AAACA7I9aKz6oswAkK8KXAPD/brrpJlu0aJGtWrUqYbbJxIkT7eGHH7ZnnnnGWrRoYYmoQoUKVrNmTRs7dmxcXm/QoEE2ePBgGzNmjNWqVSsur5kd1KtXz/3+9NNPs3pRAAAAAAAxduTIEStcuCDbNU4OHTpsO3bsJYAJAAAAZHPUWvFDnQUgWRG+BAAAAAAAAIAklitXLntl/Dzb9MfOrF6UbK9UieOsU5valjt3LsKXAAAAQDZHrRUf1FkAkhnhSwD4f88++6zt27eP7ZHg2rZta82aNbOTTz45qxcFAAAAAICEoeDl2k3bs3oxAAAAACBbodYCAKQld5r3AkAOojBf+fLls3oxkI5ixYq5/VSwINOpAQAAAMngpptusgoVKlgimThxolsm/U5UWj5tu3gZNGiQe82FCxfG7TWzg3r16rkfAAAAIN6otaJDrZUcqLUAAMmC8CWAHGH27NnWrl07q127tlWpUsUuueQSV5SOHz8+zSLVd0Buzpw51rp1azv33HPtoosusqeeesoOHDjgHvfVV1/ZDTfcYOedd57VqlXLHn/8cdu/f7/fc23cuNE910MPPWS//vqr3XnnnVazZk33fPpbPUckfvvtN3vsscdc8aF1uvDCC61r167uuTNizZo1ds8991iNGjXcsmmdP//884gGJ3///Xc3cNeqVSu3rbR8devWtYcffthth1CmTJni9oNe++yzz3br9sADD9hPP/0U1oDgzz//bPfdd5/bv95+7tmzp23ZsiVkcb1161br1auXe2ylSpUiHnzV/tRzbdiwwUaNGmVNmjRxy96wYUMbN25cyuP078svv9zOOecct16jR49O9Vz//POPjR071jp27GiXXnqpWwcdT7fffrstWbIk6mM7LVrfypUr21VXXeX2m7ccWpdrrrkm5TjQMt999902f/78iLYPAAAAAAAAAAAAAABAdsS04wCyvbffftuFIYsXL+4CZEWLFrW//vrLVq5caR988IG1adMm3edQwO2LL76w+vXruyCaAmhvvvmm7dq1y4XsFPi77LLLXLBO9+k1jxw5Yk8++WSq51L4UKHEM8880/1W+G/q1KkucDdgwABr3LhxusuzbNkyu/XWW93rK9Sov9HzzJo1yy3nmDFjXAAwUgpuKgi6c+dOF/7TMipU2LlzZ6tTp07Yz6Og4IgRI+yCCy5wgcD8+fPbL7/84rb3Z5995gJ/vtOGa1vdf//99uGHH9oJJ5zg1qdIkSK2efNmmzt3rp111lluWdKigGiXLl3cc2k/lypVym1rvaa2yTvvvONu87Vjxw63D44++mhr1KiR5cqVy44//niLRr9+/Wzp0qVuuykIOWPGDLf/8+XL50KhWjfdp22i+/r27evWVYFMj7a7bq9WrZpdfPHF7ljVNvjkk0/cdhg8eLBfR5WMHttDhgxxx5wCnq+++qodc8wx7vYHH3zQHZPa5ldffbUVKFDABTO//vprmzdvngv6AgAAAOF69tlnbd++fWywBNe2bVtr1qyZX60GAAAAIHFRayUHai0AALI3wpcAsr13333XjjrqKJs8eXKqYN22bdvCeg6F9xS2VPDS6wx47bXXukCdF3b0va9FixYuYKhOlIGvuXjxYrvllltcwM238FKHSXWyVOiuUKFCIZfl33//tW7durmumwoUKvDpG55s2bKlPfLII259I6WwoAKJ6up5/fXXp9yurp/qvhguBQwV0gtcD3X3VMh06NChfsFUhQi1LRU6fO2111JCgN76KpSYlu3bt7sA7LHHHus6Pp5yyikp9y1atMjat29vffr0cWFDX+qoqXChAo9582bsf4l6Li88Kh06dHBdMJ977jkXigx23/Dhw/3Cl8cdd5wLkZ544ol+z63go443fZHiG76M9tg+fPiw2/7aVnp9BUcVEpW///7bpk2b5rphvvfee5YnT55U2xoAAACIBGG+5FCsWDH3AwAAACA5UGslB2otAACyN6YdB5AjKFgXLFwX7sDSFVdckRKuFAXVFJ5Tl0V1vAx2n0KD6vYYSAHBTp06+d2mLpVXXnmlCz6qy2FaFIRUR8ebb77ZL3gp5cuXd6FJdT5Ut8VIqMPiggULrFy5cnbdddf53afumpo+PFwKAgYLkOo5Tj/9dBfM9KUpudV1snfv3n7BS1G40AsthqLwoUKDCrv6Bi9FU7srsKhQ4+7du1M9t0KwGQ1eyl133eW3nKVLl7bzzz/fdSfVFPOB9yloqn108OBBv2MnMHgpuk3H1Nq1a9108xk5tvfv3++mlVfwUqHU/v37pwQvRftBx7Vuy5079WmCgqQAAACA7ywB7dq1c93f1fX+kksusZtuusmdb3r03xUqVPDbaLpYTbfpt2ocXYymuko1gy4G08Vm3gVc6s5/3nnnuY7t6vyuc1pfqo/0XA899JC7IE3n36oD9Hz6Wz1HJHTOrQvjVEdondT5XbWGnjsj1qxZ487Fa9So4ZZN66w6xXdbpEcXZg0aNMh18Ne20vKpXnv44YfddghlypQpbj/otVV/at0eeOABdxGZR8+r5Vi4cGGqv1ftogvetH+9/dyzZ0/bsmVLqsfqOfRamp2hV69e7rGVKlUKa/18aX/quTQbw6hRo1xNpGXX7BOqIT36ty4qU32s9Ro9enSq59JFkmPHjnUXA2pGAq2DjiddZKiZG6I9ttOi9dVFbVdddZXbb95yaF2uueaalONAy3z33Xe7WTQAAACASM5HqbX+h1qLWotaCwCQleh8CSDbU6hRnf00GKMp1DQIp+BbJB09NFAUqESJEiHv8wJ03gCLL02hHRgwFC3XpEmTbMWKFW5wJpRvvvnG/V6/fr0bHAtWZMrq1avtjDPOsHDpdUWDmgrgBVKQMJJBS4VI1dFy+fLlLlR66NAhv9CjZ+/evW4gT9ssvanFQ/n222/d7x9++CHoNv/zzz9dt0eFF/UlhUfTkEc7zXiw/RpI04GHuk/Hj7aJpgn3DVyuWrXKXn/9dTfFtwYrVTD60vp5V7NGemxrkFqBS20vDc7q34F0bCpQrOnh1RVU07FXr17dqlatagULFoxiywAAACC70vm+wpA671WATBfq6PxWF4N98MEH1qZNm7AGFDWbQP369V0QTQE0zTqgi5gUslPgT+enCtbpPr2mLhby7aTvUfhQoUTVFfqt8+mpU6e6wN2AAQOscePG6S7PsmXL7NZbb3Wvr1Cj/kbPM2vWrJRZDxQAjJSCmwqCqqu/wn9aRoUKO3fubHXq1An7eRQUHDFihJttQLVN/vz53UV/2t46h1fgz7f7jbbV/fffn9KJX+tTpEgRd/Hd3LlzXa2SXh2mgGiXLl3cc2k/q47SttZraptoRgbd5ks1oPbB0Ucf7WoK1ZjR1l6qeZYuXeq2mwaeZ8yY4fa/LhhTLal1033aJrpPMxtoXX1nGdB21+2qlzTbhI5VbQPVrdoOgwcP9ptlIKPHtmZd0DGngOerr76a8h2ALv7TMaltrnqrQIECrsZT/aeLFBX0BQAAAKi1wketRa1FrQUAyGqELwFke5riWQMlb731lut0oS4YGvjRIIg6fagTRXrUrTKQNx1zWvf5djX0hOri6N2uDo5p8abg1oBNWhRqjIT3uqGWL5KBMnXyeOaZZ9ygngbHTjrpJDeoJAqYbtq0KdXrBuv4GC5vm2jQL5Jt4oUjYyFYoNbrSJnWfeqQ6husVUdTBUW13TTYrMFKdaDU9On68Q1jRnps79mzx3788UcrXLhwmp1MNUio6d8/+uijlICvBnWbNm3qBguZihAAAADy7rvvugur1Ik+sF7Ytm1bWBtJ4T2FLb3ZBHS+e+2117pAnRd29L2vRYsWLmCoTpSBr7l48WK75ZZb3Dmrp23btq7DpDpZKnQXrEO/R+fm3bp1c103VVv4zjSgAb2WLVvaI4884tY3UgoLKpCorp6arcCjrp/qvhguBQwV0gtcD10op5Dp0KFD/YKpGrTVtlToUOf4vrWJ1terpULZvn27C8Cq7lWHHd+ZBlSf6IKuPn36uLChL3XUVLhQgceMzjSg5/LCo14dpC6Yzz33nKuHgt03fPhwv/Dlcccd50KkgXWngo863p599lm/8GW0x7ZqOW1/bSu9voKj3kwDqn2nTZvm6rT33nsv5XsD320NAAAAZOR81Be1FrVWeqi1AACIDaYdB5AjaEovFauaPm3YsGFuwE4DRRqcivcAh7owpnV7sDCnL+/+gQMHui6JoX6aN28e0XJ5g3Chlk9dPsKhwKm6hijYqIDoiy++6DqtaHo9/fh2vfRdn2AdK8PlPceECRPS3CbqDOkrWIfPrKSBUg30Kryq41TdKTWorO2m6eAzemzrSxq9hgatNV2J1+00kIKyek11jdEApQY11RFVHV60PAAAAIBHwbpg4bpwL9i54oorUsKVoqCawnPqsqiOl8HuU2hQ3R6D1QWdOnXyu01dKtUxXsFHdTlMi4KQ6uioC6J8g5dSvnx5F5pU50N1W4yEOiwuWLDAndNfd911fvepu2ZaF0YF0jl9sACpnuP00093wUxfmpJbdU/v3r1TXRSm2izUxXceDfYqNKg6wDd4KaqvFFhUzbB79+5Uz60QbEaDl3LXXXf5LWfp0qXdzAzqTqop5gPvU9BU+8j3YkgdO8Eu+NNtOqY0S4Kmm8/Isa2ZBlRHKXipUGr//v1Tgpei/aDjWrfpArtACpICAAAA0Z6PBqLWotZKD7UWAACxQedLADmKOv5pOjL9aNBDHVM0vVeDBg3itgzqPKiBqcCBLwXmQk1j7ssbBNS0axokihVvamx1X9S2CQwmajuFQ4E/Dc5purTAKzIVsNRgpi91dtT06Bo81VV20Uw9rm2ioKC2STRTACaKdevWuW6hmuY7sHuK1i0Wx7YGZdUF5o477nCDyiNHjvSbij2QupaqY40GrHW86TjV/k0vJAwAAIDsT+eI6uynDn/NmjVzYTwF3yLplB6s/ilRokTI+7wAXbCLt1TTBOs6r+VSB35dfHTVVVeFXBbVQrJ+/fqUDvC+1qxZ436vXr3a1TDh8i560gVNwS4AU5BQnSvDpRCpOlouX77chUoPHTqUcp/vxW7q/K8QorZZNHWWfPvtt+73Dz/8EHSb6+I91SsKL/rWFZqGPNppxkPVqsFmMQh2n44fbRNdQOgbuNQFea+//rqrkzSVvO+sAqL186Zsj/TYVvBSgUttL11Ep38H0rGpQLGmh1eNpenYVftVrVrVChYsGMWWAQAAQHZFrRUeaq2ModYCACA2CF8CyPY0tYICZ75XCCqc5nVyjPcgh4Jrr7zyit9UeMuWLXNTpWkqtPr166f597pfA1maavqSSy5xP7408KXp9jT1dCQUstOAksJ1mgLNdyo8bcNwBwM1wKZtqoFADfYpXCn79u2zxx9/POhU7DfeeKO7Tz+BU+Hp8RpQTKsji7o9apo7ddzU4FXgdNvqjPPdd9+lCjUmGu1XDVoGhlC1bsG660R7bGs/a9BR0xtqUHDEiBFuwM+bsmTDhg0p/+3RvtSPBnMDp8cDAABAzqQpntWtT7XJ2LFjbfTo0S5cqFrkgQceSHVeHkywi3q888207gtWV4SqGbzbVYulxZuCWx3806Lz4kh4rxtq+SIJKapL/jPPPOMu2qpdu7ar49S5XhQw3bRpU6rXDdbxMVzeNtE07JFsEy8cGQvBArVeDZTWfaoDfYO1uvhM9bK2W8OGDV2tqg6UqoH14xvGjPTY3rNnj7vQUhfFpdXJdMCAAa7m/eijj1ICvvnz57emTZu67wgiCS4DAAAg+6LWCg+1VsZQawEAEBuELwFke/fee68bzFA3EYXbNNiyZMkS17lDHRMjDSlmlAKACjd+//33rnOGOm5ocE/L9eSTTwadQs6XpijTII2mlb711lutRo0aVqFCBReK0zRp6rSh7pMKdEZK4cc2bdrYY489Zp9++ql7XgXxZs6c6UKf6rASbHo0X7q/bdu2Lty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",
      "text/plain": [
       "<Figure size 2600x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "level = 'L5'\n",
    "rgi_reg = 'all'\n",
    "plt.figure(figsize=(26,8))\n",
    "\n",
    "\n",
    "plt.subplot(231)\n",
    "option = 'W5E5_per_glacier'\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level=level, subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  option = option,\n",
    "                                                  exp='elev_bands', border='b_080', xlim = 1400, rgi_reg=rgi_reg) # only available for border 80\n",
    "\n",
    "plt.subplot(232)\n",
    "option = 'W5E5_per_glacier_spinup'\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level=level, subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  option = option,\n",
    "                                                  exp='elev_bands', border=border, xlim = 1400, rgi_reg=rgi_reg)\n",
    "plt.subplot(233)\n",
    "option = 'ERA5_per_glacier_spinup'\n",
    "\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level=level,  subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  option = option,\n",
    "                                                  exp='elev_bands', border=border, xlim = 1400, rgi_reg=rgi_reg)\n",
    "##########\n",
    "option = 'W5E5_regional_spinup'\n",
    "\n",
    "plt.subplot(234)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level=level, subplot=True,version='2025.6',rgiv='RGI62',\n",
    "                                                  option = option,\n",
    "                                                  exp='elev_bands', border=border, xlim = 1400, rgi_reg=rgi_reg)\n",
    "\n",
    "plt.subplot(235)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level=level, subplot=True,version='2025.6',rgiv='RGI70G',\n",
    "                                                  option = option,\n",
    "                                                  exp='elev_bands', border=border, xlim = 1400, rgi_reg=rgi_reg)\n",
    "plt.subplot(236)\n",
    "dfserr, pd_rel_error_area = error_analysis_w_plot(dfserr=dfserr, pd_rel_error_area=pd_rel_error_area,\n",
    "                                                  level=level,  subplot=True,version='2025.6',rgiv='RGI70C',\n",
    "                                                  option = option,\n",
    "                                                  exp='elev_bands', border=border, xlim = 1400, rgi_reg=rgi_reg)\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "--> if you want to look at error analyses of previous oggm versions, check out this notebook: http://nbviewer.org/urls/cluster.klima.uni-bremen.de/~lschuster/error_analysis/error_analysis_oggm_v16_2023.3.ipynb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:oggm_env_2025]",
   "language": "python",
   "name": "conda-env-oggm_env_2025-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}