{ "cells": [ { "cell_type": "markdown", "id": "valid-miracle", "metadata": {}, "source": [ "# Global overview tables and statistics" ] }, { "cell_type": "markdown", "id": "b725109e-366d-4929-9842-894d0c1de43f", "metadata": {}, "source": [ "This is a bit messy, but there is a bunch of code producing maps and stats for the technical report." ] }, { "cell_type": "code", "execution_count": 1, "id": "durable-article", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import geopandas as gpd\n", "import subprocess\n", "import matplotlib.pyplot as plt\n", "import matplotlib.patches as mpatches\n", "import seaborn as sns\n", "import numpy as np\n", "import sys, os\n", "import os\n", "import matplotlib.patches as mpatches\n", "from oggm import utils\n", "import csv\n", "import seaborn as sns\n", "import cartopy\n", "import cartopy.crs as ccrs\n", "from matplotlib.image import imread" ] }, { "cell_type": "code", "execution_count": 2, "id": "composed-detail", "metadata": {}, "outputs": [], "source": [ "# go down from rgi7_scripts/workflow\n", "data_dir = '../../../../rgi7_data/'\n", "\n", "final_dir = os.path.join(data_dir, 'rgi7_final')" ] }, { "cell_type": "code", "execution_count": 3, "id": "5dd742d4-683f-4828-b9da-d04c544de3e8", "metadata": {}, "outputs": [], "source": [ "user_guide_dir = '../../../../rgi_user_guide/'" ] }, { "cell_type": "code", "execution_count": 4, "id": "a0cd0cad-6b11-45a2-bc4f-b6150bff6ced", "metadata": {}, "outputs": [], "source": [ "overlap_dir = os.path.join(data_dir, 'rgi7_rgi6_links')" ] }, { "cell_type": "markdown", "id": "b59e3fb7-4db8-43d6-ad8b-e32f3e22a42e", "metadata": {}, "source": [ "## Read RGI6 and RGI7 attrs " ] }, { "cell_type": "code", "execution_count": 5, "id": "86efdd76-c228-4643-be36-19aa9ce778b7", "metadata": {}, "outputs": [], "source": [ "df_rgi7g = pd.read_csv(os.path.join(final_dir, 'global_files', 'attributes', 'RGI2000-v7.0-G-global-attributes.csv.zip'), \n", " index_col=0,\n", " compression='zip',\n", " dtype={'o1region': str})" ] }, { "cell_type": "code", "execution_count": 132, "id": "69edb4f6-eded-4002-91b3-d231df43b943", "metadata": {}, "outputs": [], "source": [ "df_rgi6g_all = pd.read_hdf(utils.file_downloader('https://cluster.klima.uni-bremen.de/~oggm/rgi/rgi62_stats.h5'))\n", "df_rgi6g = df_rgi6g_all.loc[df_rgi6g_all.Connect != 2].copy()" ] }, { "cell_type": "code", "execution_count": 7, "id": "2e920c14-c39a-4402-a1ee-f1ec2d8d017f", "metadata": {}, "outputs": [], "source": [ "df_rgi7c = pd.read_csv(os.path.join(final_dir, 'global_files', 'attributes', 'RGI2000-v7.0-C-global-attributes.csv.zip'), \n", " index_col=0,\n", " compression='zip',\n", " dtype={'o1region': str})" ] }, { "cell_type": "code", "execution_count": 8, "id": "1c8f769b-a8c6-4171-9326-28f0685904c7", "metadata": {}, "outputs": [], "source": [ "np.testing.assert_allclose(df_rgi7g.area_km2.sum(), df_rgi7c.area_km2.sum())" ] }, { "cell_type": "code", "execution_count": 9, "id": "f6136b81-8023-45b6-b657-94d43604fa87", "metadata": {}, "outputs": [], "source": [ "df_reg_o1 = gpd.read_file('zip://' + final_dir + '/RGI2000-v7.0-regions.zip/RGI2000-v7.0-o1regions.shp')\n", "df_reg_o2 = gpd.read_file('zip://' + final_dir + '/RGI2000-v7.0-regions.zip/RGI2000-v7.0-o2regions.shp')" ] }, { "cell_type": "markdown", "id": "4897e484-ef16-4693-b4ec-4278d6cf9f0d", "metadata": {}, "source": [ "## RGI6 vs RGI7 table for `overview.md`" ] }, { "cell_type": "code", "execution_count": 10, "id": "0f935615-6d80-42c5-8e8f-e07abfc8fb7b", "metadata": {}, "outputs": [], "source": [ "df = df_rgi6g.groupby('O1Region')[['Area']].sum()\n", "df.columns = ['Area RGI6']" ] }, { "cell_type": "code", "execution_count": 11, "id": "2d72d066-8080-485c-a85e-279cfe345593", "metadata": { "tags": [] }, "outputs": [], "source": [ "df['Area RGI7'] = df_rgi7g.groupby('o1region')[['area_km2']].sum()" ] }, { "cell_type": "code", "execution_count": 12, "id": "2e63e99c-a4a4-4d8b-8079-f74ed9153faa", "metadata": {}, "outputs": [], "source": [ "df['Diff A (%)'] = (df['Area RGI7'] / df['Area RGI6'] - 1) * 100" ] }, { "cell_type": "code", "execution_count": 13, "id": "7bf8c766-a646-48dc-80d0-f457a7c4a1ae", "metadata": {}, "outputs": [], "source": [ "df['N RGI6'] = df_rgi6g.groupby('O1Region').count()['Area']\n", "df['N RGI7'] = df_rgi7g.groupby('o1region').count()['area_km2']\n", "\n", "df['Diff N (%)'] = (df['N RGI7'] / df['N RGI6'] - 1) * 100" ] }, { "cell_type": "code", "execution_count": 14, "id": "bab226ff-882d-4f63-85b3-a2958fd65c28", "metadata": {}, "outputs": [], "source": [ "df.loc['20'] = [0] * 6" ] }, { "cell_type": "code", "execution_count": 15, "id": "46c9e067-21c3-4c2a-bab9-8b5ea5b16468", "metadata": {}, "outputs": [], "source": [ "ss = df.sum()\n", "ss.name = 'Global'\n", "df = pd.concat([df, ss.to_frame().T])\n", "\n", "df['Diff A (%)'] = (df['Area RGI7'] / df['Area RGI6'] - 1) * 100\n", "df['Diff N (%)'] = (df['N RGI7'] / df['N RGI6'] - 1) * 100" ] }, { "cell_type": "code", "execution_count": 16, "id": "13f63546-158e-44db-aec0-abcb0d70be09", "metadata": {}, "outputs": [], "source": [ "df['Area RGI6'] = df['Area RGI6'].astype(float).round(0).astype(int) \n", "df['Area RGI7'] = df['Area RGI7'].astype(float).round(0).astype(int) \n", "df['N RGI6'] = df['N RGI6'].astype(int) \n", "df['N RGI7'] = df['N RGI7'].astype(int) \n", "\n", "df['Diff A (%)'] = df['Diff A (%)'].round(1).replace(-0, 0).replace(np.NaN, 0)\n", "df['Diff N (%)'] = df['Diff N (%)'].round(1).replace(-0, 0).replace(np.NaN, 0)" ] }, { "cell_type": "code", "execution_count": 17, "id": "eb8418c9-ffa1-4f4d-9418-00f437240de2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Area RGI6Area RGI7Diff A (%)N RGI6N RGI7Diff N (%)
0186725867080.027108275091.5
0214524145210.01885518730-0.7
031051111053700.24556521614.5
044088840538-0.974151100948.5
0589717904820.919306199943.6
0611060110600.05685680.0
0733959339590.0161516663.2
08294929480.034173410-0.2
0951592515950.0106910690.0
10241026439.65151715538.9
11209221241.5392740793.9
12130714077.61888227520.5
1349303503442.1544297561338.9
143356833075-1.5279883756234.2
1514734160498.9131191858741.7
1623411929-17.62939369525.7
172942927674-6.0159083063492.6
181162886-23.735373018-14.7
191328671334320.427522742-0.4
20000.0000.0
Global7057397067440.121554727453127.4
\n", "
" ], "text/plain": [ " Area RGI6 Area RGI7 Diff A (%) N RGI6 N RGI7 Diff N (%)\n", "01 86725 86708 0.0 27108 27509 1.5\n", "02 14524 14521 0.0 18855 18730 -0.7\n", "03 105111 105370 0.2 4556 5216 14.5\n", "04 40888 40538 -0.9 7415 11009 48.5\n", "05 89717 90482 0.9 19306 19994 3.6\n", "06 11060 11060 0.0 568 568 0.0\n", "07 33959 33959 0.0 1615 1666 3.2\n", "08 2949 2948 0.0 3417 3410 -0.2\n", "09 51592 51595 0.0 1069 1069 0.0\n", "10 2410 2643 9.6 5151 7155 38.9\n", "11 2092 2124 1.5 3927 4079 3.9\n", "12 1307 1407 7.6 1888 2275 20.5\n", "13 49303 50344 2.1 54429 75613 38.9\n", "14 33568 33075 -1.5 27988 37562 34.2\n", "15 14734 16049 8.9 13119 18587 41.7\n", "16 2341 1929 -17.6 2939 3695 25.7\n", "17 29429 27674 -6.0 15908 30634 92.6\n", "18 1162 886 -23.7 3537 3018 -14.7\n", "19 132867 133432 0.4 2752 2742 -0.4\n", "20 0 0 0.0 0 0 0.0\n", "Global 705739 706744 0.1 215547 274531 27.4" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "code", "execution_count": 18, "id": "d6360c7b-ca5f-4637-85e3-89dfa2503d59", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "N in RGI7: N=274531, A=706744 km²\n", "Same as RGI6: N=73797, A=410788 km²\n", "New in RGI7: N=200734, A=295955 km²\n", "New in % area: 0.41875848090612894\n", "New in % number: 0.7311888274912487\n" ] } ], "source": [ "print(f\"N in RGI7: N={len(df_rgi7g)}, A={int(df_rgi7g['area_km2'].sum())} km²\")\n", "\n", "s1 = df_rgi7g.loc[df_rgi7g.is_rgi6 == 1]\n", "print(f\"Same as RGI6: N={len(s1)}, A={int(s1['area_km2'].sum())} km²\")\n", "\n", "s2 = df_rgi7g.loc[df_rgi7g.is_rgi6 == 0]\n", "print(f\"New in RGI7: N={len(s2)}, A={int(s2['area_km2'].sum())} km²\")\n", "\n", "print(f\"New in % area: {s2['area_km2'].sum() / df_rgi7g['area_km2'].sum()}\")\n", "\n", "print(f\"New in % number: {len(s2) / len(df_rgi7g)}\")" ] }, { "cell_type": "code", "execution_count": 19, "id": "54ce2ccf-9e3e-488f-b9f3-02e36c107f86", "metadata": {}, "outputs": [], "source": [ "df.index.name = 'Region'" ] }, { "cell_type": "code", "execution_count": 20, "id": "a6f57487-edee-49d7-9d03-8132c43a81ce", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| | Area
RGI 6.0 (km²) | Area
RGI 7.0 (km²) | Area
Diff. (%) | Count
RGI 6.0 | Count
RGI 7.0 | Count
Diff. (%) |\n", "|:-------------|------------------------:|------------------------:|--------------------:|-------------------:|-------------------:|---------------------:|\n", "| [](rgi01.md) | 86725 | 86708 | 0.0 | 27108 | 27509 | 1.5 |\n", "| [](rgi02.md) | 14524 | 14521 | 0.0 | 18855 | 18730 | -0.7 |\n", "| [](rgi03.md) | 105111 | 105370 | 0.2 | 4556 | 5216 | 14.5 |\n", "| [](rgi04.md) | 40888 | 40538 | -0.9 | 7415 | 11009 | 48.5 |\n", "| [](rgi05.md) | 89717 | 90482 | 0.9 | 19306 | 19994 | 3.6 |\n", "| [](rgi06.md) | 11060 | 11060 | 0.0 | 568 | 568 | 0.0 |\n", "| [](rgi07.md) | 33959 | 33959 | 0.0 | 1615 | 1666 | 3.2 |\n", "| [](rgi08.md) | 2949 | 2948 | 0.0 | 3417 | 3410 | -0.2 |\n", "| [](rgi09.md) | 51592 | 51595 | 0.0 | 1069 | 1069 | 0.0 |\n", "| [](rgi10.md) | 2410 | 2643 | 9.6 | 5151 | 7155 | 38.9 |\n", "| [](rgi11.md) | 2092 | 2124 | 1.5 | 3927 | 4079 | 3.9 |\n", "| [](rgi12.md) | 1307 | 1407 | 7.6 | 1888 | 2275 | 20.5 |\n", "| [](rgi13.md) | 49303 | 50344 | 2.1 | 54429 | 75613 | 38.9 |\n", "| [](rgi14.md) | 33568 | 33075 | -1.5 | 27988 | 37562 | 34.2 |\n", "| [](rgi15.md) | 14734 | 16049 | 8.9 | 13119 | 18587 | 41.7 |\n", "| [](rgi16.md) | 2341 | 1929 | -17.6 | 2939 | 3695 | 25.7 |\n", "| [](rgi17.md) | 29429 | 27674 | -6.0 | 15908 | 30634 | 92.6 |\n", "| [](rgi18.md) | 1162 | 886 | -23.7 | 3537 | 3018 | -14.7 |\n", "| [](rgi19.md) | 132867 | 133432 | 0.4 | 2752 | 2742 | -0.4 |\n", "| [](rgi20.md) | 0 | 0 | 0.0 | 0 | 0 | 0.0 |\n", "| **Global** | 705739 | 706744 | 0.1 | 215547 | 274531 | 27.4 |\n" ] } ], "source": [ "df_formd = df.copy()\n", "df_formd.index = [f'[](rgi{i}.md)' for i in df_formd.index[:-1]] + ['Global']\n", "df_formd.columns = ['Area
RGI 6.0 (km²)', 'Area
RGI 7.0 (km²)', 'Area
Diff. (%)', 'Count
RGI 6.0', 'Count
RGI 7.0', 'Count
Diff. (%)']\n", "print(df_formd.to_markdown(floatfmt=(\".0f\",\".0f\",\".0f\",\".1f\",\".0f\",\".0f\",\".1f\")).replace('Global ', '**Global**'))" ] }, { "cell_type": "code", "execution_count": 21, "id": "944c0cec-a550-4cd4-8008-5f1723a19e24", "metadata": {}, "outputs": [], "source": [ "df['Full name'] = list(df_reg_o1.full_name.unique()) + ['']\n", "df['Code'] = ['`' + r + '`' for r in df_reg_o1.long_code.unique()] + ['']" ] }, { "cell_type": "code", "execution_count": 22, "id": "158e2b39-b95a-4e81-ba23-16ede6b44c60", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Area RGI6Area RGI7Diff A (%)N RGI6N RGI7Diff N (%)Full nameCode
Region
0186725867080.027108275091.5Alaska`01_alaska`
0214524145210.01885518730-0.7Western Canada and USA`02_western_canada_usa`
031051111053700.24556521614.5Arctic Canada North`03_arctic_canada_north`
044088840538-0.974151100948.5Arctic Canada South`04_arctic_canada_south`
0589717904820.919306199943.6Greenland Periphery`05_greenland_periphery`
0611060110600.05685680.0Iceland`06_iceland`
0733959339590.0161516663.2Svalbard and Jan Mayen`07_svalbard_jan_mayen`
08294929480.034173410-0.2Scandinavia`08_scandinavia`
0951592515950.0106910690.0Russian Arctic`09_russian_arctic`
10241026439.65151715538.9North Asia`10_north_asia`
11209221241.5392740793.9Central Europe`11_central_europe`
12130714077.61888227520.5Caucasus and Middle East`12_caucasus_middle_east`
1349303503442.1544297561338.9Central Asia`13_central_asia`
143356833075-1.5279883756234.2South Asia West`14_south_asia_west`
1514734160498.9131191858741.7South Asia East`15_south_asia_east`
1623411929-17.62939369525.7Low Latitudes`16_low_latitudes`
172942927674-6.0159083063492.6Southern Andes`17_southern_andes`
181162886-23.735373018-14.7New Zealand`18_new_zealand`
191328671334320.427522742-0.4Subantarctic and Antarctic Islands`19_subantarctic_antarctic_islands`
20000.0000.0Antarctic Mainland`20_antarctic_mainland`
Global7057397067440.121554727453127.4
\n", "
" ], "text/plain": [ " Area RGI6 Area RGI7 Diff A (%) N RGI6 N RGI7 Diff N (%) \\\n", "Region \n", "01 86725 86708 0.0 27108 27509 1.5 \n", "02 14524 14521 0.0 18855 18730 -0.7 \n", "03 105111 105370 0.2 4556 5216 14.5 \n", "04 40888 40538 -0.9 7415 11009 48.5 \n", "05 89717 90482 0.9 19306 19994 3.6 \n", "06 11060 11060 0.0 568 568 0.0 \n", "07 33959 33959 0.0 1615 1666 3.2 \n", "08 2949 2948 0.0 3417 3410 -0.2 \n", "09 51592 51595 0.0 1069 1069 0.0 \n", "10 2410 2643 9.6 5151 7155 38.9 \n", "11 2092 2124 1.5 3927 4079 3.9 \n", "12 1307 1407 7.6 1888 2275 20.5 \n", "13 49303 50344 2.1 54429 75613 38.9 \n", "14 33568 33075 -1.5 27988 37562 34.2 \n", "15 14734 16049 8.9 13119 18587 41.7 \n", "16 2341 1929 -17.6 2939 3695 25.7 \n", "17 29429 27674 -6.0 15908 30634 92.6 \n", "18 1162 886 -23.7 3537 3018 -14.7 \n", "19 132867 133432 0.4 2752 2742 -0.4 \n", "20 0 0 0.0 0 0 0.0 \n", "Global 705739 706744 0.1 215547 274531 27.4 \n", "\n", " Full name \\\n", "Region \n", "01 Alaska \n", "02 Western Canada and USA \n", "03 Arctic Canada North \n", "04 Arctic Canada South \n", "05 Greenland Periphery \n", "06 Iceland \n", "07 Svalbard and Jan Mayen \n", "08 Scandinavia \n", "09 Russian Arctic \n", "10 North Asia \n", "11 Central Europe \n", "12 Caucasus and Middle East \n", "13 Central Asia \n", "14 South Asia West \n", "15 South Asia East \n", "16 Low Latitudes \n", "17 Southern Andes \n", "18 New Zealand \n", "19 Subantarctic and Antarctic Islands \n", "20 Antarctic Mainland \n", "Global \n", "\n", " Code \n", "Region \n", "01 `01_alaska` \n", "02 `02_western_canada_usa` \n", "03 `03_arctic_canada_north` \n", "04 `04_arctic_canada_south` \n", "05 `05_greenland_periphery` \n", "06 `06_iceland` \n", "07 `07_svalbard_jan_mayen` \n", "08 `08_scandinavia` \n", "09 `09_russian_arctic` \n", "10 `10_north_asia` \n", "11 `11_central_europe` \n", "12 `12_caucasus_middle_east` \n", "13 `13_central_asia` \n", "14 `14_south_asia_west` \n", "15 `15_south_asia_east` \n", "16 `16_low_latitudes` \n", "17 `17_southern_andes` \n", "18 `18_new_zealand` \n", "19 `19_subantarctic_antarctic_islands` \n", "20 `20_antarctic_mainland` \n", "Global " ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "code", "execution_count": 23, "id": "03c99796-c4fa-4f46-969b-e63683249446", "metadata": {}, "outputs": [], "source": [ "for_csv = df[['Full name', 'Area RGI6', 'Area RGI7', 'Diff A (%)', 'N RGI6', 'N RGI7', 'Diff N (%)']].copy()\n", "for_csv.columns = ['Full name', 'Area RGI 6.0', 'Area RGI 7.0', 'Diff. Area (%)', 'Count RGI 6.0', 'Count RGI 7.0', 'Diff. Count (%)']\n", "for_csv.reset_index().to_csv(user_guide_dir + '/docs/appendix/RGI2000-v7.0-G-comparison-rgi6.csv', index=False, quoting=csv.QUOTE_NONNUMERIC)" ] }, { "cell_type": "markdown", "id": "2e83efb6-ad5a-4e8c-9d87-babc795c1f50", "metadata": {}, "source": [ "## Add overlap info " ] }, { "cell_type": "code", "execution_count": 24, "id": "bafcac2e-ef38-4639-8557-a3ae56fb76ea", "metadata": {}, "outputs": [], "source": [ "dfoverlap = pd.read_csv(os.path.join(overlap_dir, 'RGI2000-v7.0-G-global-rgi6_links.csv'))" ] }, { "cell_type": "code", "execution_count": 25, "id": "cd726080-c21e-4196-99d5-07b3867ce80b", "metadata": {}, "outputs": [], "source": [ "dfover = df.copy()\n", "dfover['Area overlap'] = 0" ] }, { "cell_type": "code", "execution_count": 26, "id": "68befa7e-7a82-4e2d-9c37-298f039c964a", "metadata": {}, "outputs": [], "source": [ "dfover.loc[:'19', 'Area overlap'] = dfoverlap.groupby('rgi7_reg')['overlap_area_km2'].sum().values\n", "dfover.loc['Global', 'Area overlap'] = dfoverlap['overlap_area_km2'].sum()" ] }, { "cell_type": "code", "execution_count": 27, "id": "4e8b6293-6f94-4b39-be7c-1d6c6499db77", "metadata": {}, "outputs": [], "source": [ "dfover['Area removed from RGI6'] = dfover['Area RGI6'] - dfover['Area overlap']\n", "dfover['Area removed from RGI6 (%)'] = dfover['Area removed from RGI6'] / dfover['Area RGI6'] * 100\n", "dfover['Area added in RGI7'] = dfover['Area RGI7'] - dfover['Area overlap']\n", "dfover['Area added in RGI7 (%)'] = dfover['Area added in RGI7'] / dfover['Area RGI7'] * 100" ] }, { "cell_type": "code", "execution_count": 28, "id": "e0708328-3e1f-412b-8332-dda8b659925f", "metadata": {}, "outputs": [], "source": [ "for c in ['Area removed from RGI6 (%)', 'Area added in RGI7 (%)']:\n", " dfover[c] = dfover[c].round(1).replace(-0, 0).replace(np.NaN, 0)\n", "for c in ['Area removed from RGI6', 'Area added in RGI7', 'Area overlap']:\n", " dfover[c] = dfover[c].astype(float).round(0).astype(int)" ] }, { "cell_type": "code", "execution_count": 29, "id": "78bead5e-809f-4407-a4f8-74df8a26f7d1", "metadata": {}, "outputs": [], "source": [ "for_csv = dfover[dfover.columns[[6, 0, 1, 2, 8, 9, 11, 10, 12]]].copy()\n", "for_csv.columns = ['Full name', 'Area RGI 6.0', 'Area RGI 7.0', 'Diff. Area (%)',\n", " 'Area overlap', 'Area removed from RGI6', 'Area added in RGI7',\n", " 'Area removed from RGI 6.0 (%)', 'Area added in RGI 7.0 (%)'] \n", "for_csv.reset_index().to_csv(user_guide_dir + '/docs/appendix/RGI2000-v7.0-G-comparison-rgi6-area.csv', index=False, quoting=csv.QUOTE_NONNUMERIC)" ] }, { "cell_type": "code", "execution_count": 30, "id": "32ffb398-2fbf-432d-ad2f-9546ea777c24", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| | Area
RGI 6.0 (km²) | Area
RGI 7.0 (km²) | Area
Diff. (%) | Area overlap (km²) | Area removed from RGI 6.0 (km²) | Area added in RGI 7.0 (km²) | Area removed from RGI 6.0 (%) | Area added in RGI 7.0 (%) |\n", "|:-------------|------------------------:|------------------------:|--------------------:|---------------------:|----------------------------------:|------------------------------:|--------------------------------:|----------------------------:|\n", "| [](rgi01.md) | 86725 | 86708 | 0.0 | 86627 | 98 | 81 | 0.1 | 0.1 |\n", "| [](rgi02.md) | 14524 | 14521 | 0.0 | 14521 | 3 | 0 | 0.0 | 0.0 |\n", "| [](rgi03.md) | 105111 | 105370 | 0.2 | 102891 | 2220 | 2479 | 2.1 | 2.4 |\n", "| [](rgi04.md) | 40888 | 40538 | -0.9 | 39927 | 961 | 611 | 2.4 | 1.5 |\n", "| [](rgi05.md) | 89717 | 90482 | 0.9 | 89546 | 171 | 936 | 0.2 | 1.0 |\n", "| [](rgi06.md) | 11060 | 11060 | 0.0 | 11060 | 0 | 0 | 0.0 | 0.0 |\n", "| [](rgi07.md) | 33959 | 33959 | 0.0 | 33938 | 21 | 21 | 0.1 | 0.1 |\n", "| [](rgi08.md) | 2949 | 2948 | 0.0 | 2899 | 50 | 49 | 1.7 | 1.7 |\n", "| [](rgi09.md) | 51592 | 51595 | 0.0 | 51591 | 1 | 4 | 0.0 | 0.0 |\n", "| [](rgi10.md) | 2410 | 2643 | 9.6 | 2114 | 296 | 529 | 12.3 | 20.0 |\n", "| [](rgi11.md) | 2092 | 2124 | 1.5 | 2081 | 11 | 43 | 0.5 | 2.0 |\n", "| [](rgi12.md) | 1307 | 1407 | 7.6 | 970 | 337 | 437 | 25.8 | 31.1 |\n", "| [](rgi13.md) | 49303 | 50344 | 2.1 | 46126 | 3177 | 4218 | 6.4 | 8.4 |\n", "| [](rgi14.md) | 33568 | 33075 | -1.5 | 30849 | 2719 | 2226 | 8.1 | 6.7 |\n", "| [](rgi15.md) | 14734 | 16049 | 8.9 | 13433 | 1301 | 2616 | 8.8 | 16.3 |\n", "| [](rgi16.md) | 2341 | 1929 | -17.6 | 1802 | 539 | 127 | 23.0 | 6.6 |\n", "| [](rgi17.md) | 29429 | 27674 | -6.0 | 25995 | 3434 | 1679 | 11.7 | 6.1 |\n", "| [](rgi18.md) | 1162 | 886 | -23.7 | 827 | 335 | 59 | 28.8 | 6.7 |\n", "| [](rgi19.md) | 132867 | 133432 | 0.4 | 128955 | 3912 | 4477 | 2.9 | 3.4 |\n", "| [](rgi20.md) | 0 | 0 | 0.0 | 0 | 0 | 0 | 0.0 | 0.0 |\n", "| **Global** | 705739 | 706744 | 0.1 | 686151 | 19588 | 20593 | 2.8 | 2.9 |\n" ] } ], "source": [ "df_formd = dfover[dfover.columns[[0, 1, 2, 8, 9, 11, 10, 12]]].copy()\n", "df_formd.index = [f'[](rgi{i}.md)' for i in df_formd.index[:-1]] + ['Global']\n", "df_formd.columns = ['Area
RGI 6.0 (km²)', 'Area
RGI 7.0 (km²)', 'Area
Diff. (%)', 'Area overlap (km²)', \n", " 'Area removed from RGI 6.0 (km²)', 'Area added in RGI 7.0 (km²)',\n", " 'Area removed from RGI 6.0 (%)', 'Area added in RGI 7.0 (%)']\n", "print(df_formd.to_markdown(floatfmt=(\".0f\",\".0f\",\".0f\",\".1f\",\".0f\",\".0f\",\".0f\",\".1f\",\".1f\")).replace('Global ', '**Global**'))" ] }, { "cell_type": "markdown", "id": "5a71b948-5ef9-4096-b05d-11ca44d1c98f", "metadata": {}, "source": [ "## Tables Appendix (no RGI6) " ] }, { "cell_type": "markdown", "id": "981ee942-9055-43a6-a41c-e03138cda298", "metadata": {}, "source": [ "### O1 " ] }, { "cell_type": "code", "execution_count": 31, "id": "9dd2e602-c945-4b00-88ad-10760d9b4245", "metadata": {}, "outputs": [], "source": [ "for_csv = df[['Full name', 'Code', 'N RGI7', 'Area RGI7']].copy()\n", "for_csv['Code'] = [s.replace(\"`\", \"\") for s in for_csv['Code']]" ] }, { "cell_type": "code", "execution_count": 32, "id": "4428b2bf-e473-4a27-bf47-6c0e2ac7badb", "metadata": {}, "outputs": [], "source": [ "for_csv.columns = [['full_name', 'long_code', 'count', 'area_km2']]\n", "for_csv.index.name = 'o1region'\n", "for_csv.reset_index().to_csv(user_guide_dir + '/docs/appendix/RGI2000-v7.0-G-o1region-summary.csv', index=False, quoting=csv.QUOTE_NONNUMERIC)" ] }, { "cell_type": "code", "execution_count": 33, "id": "c8428d21-f2cf-416b-8d6d-c34ace6f32ed", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| Region | Full name | Code | Count | Area (km²) |\n", "|:---------|:-----------------------------------|:------------------------------------|--------:|-------------:|\n", "| 01 | Alaska | `01_alaska` | 27509 | 86708 |\n", "| 02 | Western Canada and USA | `02_western_canada_usa` | 18730 | 14521 |\n", "| 03 | Arctic Canada North | `03_arctic_canada_north` | 5216 | 105370 |\n", "| 04 | Arctic Canada South | `04_arctic_canada_south` | 11009 | 40538 |\n", "| 05 | Greenland Periphery | `05_greenland_periphery` | 19994 | 90482 |\n", "| 06 | Iceland | `06_iceland` | 568 | 11060 |\n", "| 07 | Svalbard and Jan Mayen | `07_svalbard_jan_mayen` | 1666 | 33959 |\n", "| 08 | Scandinavia | `08_scandinavia` | 3410 | 2948 |\n", "| 09 | Russian Arctic | `09_russian_arctic` | 1069 | 51595 |\n", "| 10 | North Asia | `10_north_asia` | 7155 | 2643 |\n", "| 11 | Central Europe | `11_central_europe` | 4079 | 2124 |\n", "| 12 | Caucasus and Middle East | `12_caucasus_middle_east` | 2275 | 1407 |\n", "| 13 | Central Asia | `13_central_asia` | 75613 | 50344 |\n", "| 14 | South Asia West | `14_south_asia_west` | 37562 | 33075 |\n", "| 15 | South Asia East | `15_south_asia_east` | 18587 | 16049 |\n", "| 16 | Low Latitudes | `16_low_latitudes` | 3695 | 1929 |\n", "| 17 | Southern Andes | `17_southern_andes` | 30634 | 27674 |\n", "| 18 | New Zealand | `18_new_zealand` | 3018 | 886 |\n", "| 19 | Subantarctic and Antarctic Islands | `19_subantarctic_antarctic_islands` | 2742 | 133432 |\n", "| 20 | Antarctic Mainland | `20_antarctic_mainland` | 0 | 0 |\n", "| Global | | | 274531 | 706744 |\n" ] } ], "source": [ "for_print = df[['Full name', 'Code', 'N RGI7', 'Area RGI7']]\n", "for_print.columns = ['Full name', 'Code', 'Count', 'Area (km²)']\n", "print(for_print.to_markdown().replace('Global ', '**Global**'))" ] }, { "cell_type": "markdown", "id": "dbe1cc80-20eb-42fc-9e99-5abeccb920fd", "metadata": {}, "source": [ "### O2 " ] }, { "cell_type": "code", "execution_count": 34, "id": "74e03dd8-a10b-4e71-af16-80e13b651140", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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o1regiono2regionfull_namelong_codegeometry
00101-01North Alaska01-01_north_alaskaPOLYGON ((-169.00000 64.00000, -169.00000 65.0...
10101-02Alaska Range (Wrangell/Kilbuck)01-02_alaska_range_wrangell_kilbuckPOLYGON ((-144.40436 61.48531, -144.48100 61.5...
20101-03Alaska Peninsula (Aleutians)01-03_alaska_peninsula_aleutiansPOLYGON ((-180.00000 57.00000, -179.00000 57.0...
30101-04West Chugach Mountains (Talkeetna)01-04_west_chugach_mountains_talkeetnaPOLYGON ((-151.32973 58.74602, -151.57953 58.8...
40101-05Saint Elias Mountains01-05_saint_elias_mountainsPOLYGON ((-144.25108 61.44018, -144.07510 61.3...
..................
861919-21Northeast Antarctic Peninsula 7I219-21_northeast_antarctic_peninsula_7i2POLYGON ((-62.41123 -69.50624, -62.41913 -69.5...
871919-22Southeast Antarctic Peninsula 7I319-22_southeast_antarctic_peninsula_7i3POLYGON ((-50.00000 -74.80000, -51.00000 -74.8...
881919-23Ronne-Filchner Ice Shelf 7J19-23_ronne_filchner_ice_shelf_7jPOLYGON ((-42.00000 -74.80000, -41.00000 -74.8...
891919-24West Queen Maud Land 7K19-24_west_queen_maud_land_7kPOLYGON ((-10.30000 -69.40000, -10.00000 -69.4...
902020-01Antarctic Mainland20-01_antarctic_mainlandPOLYGON ((131.99251 -66.18084, 132.10675 -66.1...
\n", "

90 rows × 5 columns

\n", "
" ], "text/plain": [ " o1region o2region full_name \\\n", "0 01 01-01 North Alaska \n", "1 01 01-02 Alaska Range (Wrangell/Kilbuck) \n", "2 01 01-03 Alaska Peninsula (Aleutians) \n", "3 01 01-04 West Chugach Mountains (Talkeetna) \n", "4 01 01-05 Saint Elias Mountains \n", ".. ... ... ... \n", "86 19 19-21 Northeast Antarctic Peninsula 7I2 \n", "87 19 19-22 Southeast Antarctic Peninsula 7I3 \n", "88 19 19-23 Ronne-Filchner Ice Shelf 7J \n", "89 19 19-24 West Queen Maud Land 7K \n", "90 20 20-01 Antarctic Mainland \n", "\n", " long_code \\\n", "0 01-01_north_alaska \n", "1 01-02_alaska_range_wrangell_kilbuck \n", "2 01-03_alaska_peninsula_aleutians \n", "3 01-04_west_chugach_mountains_talkeetna \n", "4 01-05_saint_elias_mountains \n", ".. ... \n", "86 19-21_northeast_antarctic_peninsula_7i2 \n", "87 19-22_southeast_antarctic_peninsula_7i3 \n", "88 19-23_ronne_filchner_ice_shelf_7j \n", "89 19-24_west_queen_maud_land_7k \n", "90 20-01_antarctic_mainland \n", "\n", " geometry \n", "0 POLYGON ((-169.00000 64.00000, -169.00000 65.0... \n", "1 POLYGON ((-144.40436 61.48531, -144.48100 61.5... \n", "2 POLYGON ((-180.00000 57.00000, -179.00000 57.0... \n", "3 POLYGON ((-151.32973 58.74602, -151.57953 58.8... \n", "4 POLYGON ((-144.25108 61.44018, -144.07510 61.3... \n", ".. ... \n", "86 POLYGON ((-62.41123 -69.50624, -62.41913 -69.5... \n", "87 POLYGON ((-50.00000 -74.80000, -51.00000 -74.8... \n", "88 POLYGON ((-42.00000 -74.80000, -41.00000 -74.8... \n", "89 POLYGON ((-10.30000 -69.40000, -10.00000 -69.4... \n", "90 POLYGON ((131.99251 -66.18084, 132.10675 -66.1... \n", "\n", "[90 rows x 5 columns]" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_reg_o2 = df_reg_o2.drop_duplicates('o2region')\n", "df_reg_o2" ] }, { "cell_type": "code", "execution_count": 35, "id": "21454baf-0b6c-4e7e-8a53-8fb66f989bb0", "metadata": {}, "outputs": [], "source": [ "dfsr = df_reg_o2[['o2region', 'full_name', 'long_code']].copy().set_index('o2region')\n", "\n", "dfsr.columns = ['Full name', 'Code']\n", "\n", "dfsr['Count'] = df_rgi7g.groupby('o2region')['cenlon'].count()\n", "dfsr['Area (km²)'] = df_rgi7g.groupby('o2region')['area_km2'].sum()\n", "\n", "ss = dfsr.sum()\n", "ss.name = 'Global'\n", "dfsr = pd.concat([dfsr, ss.to_frame().T])\n", "\n", "dfsr.loc['Global', 'Full name'] = ''\n", "dfsr.loc['Global', 'Code'] = ''\n", "\n", "dfsr['Area (km²)'] = dfsr['Area (km²)'].astype(float).round(0).fillna(0).astype(int) \n", "dfsr['Count'] = dfsr['Count'].fillna(0).astype(int) \n", "\n", "dfsr['Code'] = ['`' + r + '`' for r in dfsr.Code]\n", "dfsr.loc['Global', 'Code'] = ''" ] }, { "cell_type": "code", "execution_count": 36, "id": "0c231782-3efe-40cf-ab9c-af77ca557c5d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| | Full name | Code | Count | Area (km²) |\n", "|:-------|:-----------------------------------------|:-----------------------------------------------|--------:|-------------:|\n", "| 01-01 | North Alaska | `01-01_north_alaska` | 706 | 364 |\n", "| 01-02 | Alaska Range (Wrangell/Kilbuck) | `01-02_alaska_range_wrangell_kilbuck` | 5812 | 16284 |\n", "| 01-03 | Alaska Peninsula (Aleutians) | `01-03_alaska_peninsula_aleutians` | 872 | 1912 |\n", "| 01-04 | West Chugach Mountains (Talkeetna) | `01-04_west_chugach_mountains_talkeetna` | 4529 | 12005 |\n", "| 01-05 | Saint Elias Mountains | `01-05_saint_elias_mountains` | 5039 | 33178 |\n", "| 01-06 | North Coast Ranges | `01-06_north_coast_ranges` | 10551 | 22964 |\n", "| 02-01 | Mackenzie and Selwyn Mountains | `02-01_mackenzie_and_selwyn_mountains` | 1235 | 657 |\n", "| 02-02 | South Coast Ranges | `02-02_south_coast_ranges` | 7390 | 8806 |\n", "| 02-03 | North Rocky Mountains | `02-03_north_rocky_mountains` | 5063 | 4386 |\n", "| 02-04 | Cascade Range and Sierra Nevada | `02-04_cascade_range_and_sierra_nevada` | 3127 | 529 |\n", "| 02-05 | South Rocky Mountains | `02-05_south_rocky_mountains` | 1915 | 144 |\n", "| 03-01 | North Ellesmere Island | `03-01_north_ellesmere_island` | 2573 | 27690 |\n", "| 03-02 | Axel Heiberg and Meighen Is | `03-02_axel_heiberg_and_meighen_is` | 624 | 11852 |\n", "| 03-03 | North Central Ellesmere Island | `03-03_north_central_ellesmere_island` | 902 | 21336 |\n", "| 03-04 | South Central Ellesmere Island | `03-04_south_central_ellesmere_island` | 261 | 19322 |\n", "| 03-05 | South Ellesmere Island (Northwest Devon) | `03-05_south_ellesmere_island_northwest_devon` | 633 | 10042 |\n", "| 03-06 | Devon Island | `03-06_devon_island` | 216 | 15000 |\n", "| 03-07 | Melville Island | `03-07_melville_island` | 7 | 128 |\n", "| 04-01 | Bylot Island | `04-01_bylot_island` | 616 | 4883 |\n", "| 04-02 | West Baffin Island | `04-02_west_baffin_island` | 96 | 3767 |\n", "| 04-03 | North Baffin Island | `04-03_north_baffin_island` | 597 | 497 |\n", "| 04-04 | Northeast Baffin Island | `04-04_northeast_baffin_island` | 1953 | 8195 |\n", "| 04-05 | East Central Baffin Island | `04-05_east_central_baffin_island` | 1905 | 9431 |\n", "| 04-06 | South East Baffin Island | `04-06_south_east_baffin_island` | 3036 | 7603 |\n", "| 04-07 | Cumberland Sound | `04-07_cumberland_sound` | 2620 | 5907 |\n", "| 04-08 | Frobisher Bay | `04-08_frobisher_bay` | 83 | 235 |\n", "| 04-09 | Labrador | `04-09_labrador` | 103 | 20 |\n", "| 05-01 | Greenland Periphery | `05-01_greenland_periphery` | 19994 | 90482 |\n", "| 06-01 | Iceland | `06-01_iceland` | 568 | 11060 |\n", "| 07-01 | Svalbard | `07-01_svalbard` | 1583 | 33841 |\n", "| 07-02 | Jan Mayen | `07-02_jan_mayen` | 83 | 117 |\n", "| 08-01 | North Scandinavia | `08-01_north_scandinavia` | 1832 | 1430 |\n", "| 08-02 | Southwest Scandinavia | `08-02_southwest_scandinavia` | 1216 | 1216 |\n", "| 08-03 | Southeast Scandinavia | `08-03_southeast_scandinavia` | 362 | 302 |\n", "| 09-01 | Franz Josef Land | `09-01_franz_josef_land` | 412 | 12762 |\n", "| 09-02 | Novaya Zemlya | `09-02_novaya_zemlya` | 480 | 22132 |\n", "| 09-03 | Severnaya Zemlya | `09-03_severnaya_zemlya` | 177 | 16701 |\n", "| 10-01 | Ural Mountains | `10-01_ural_mountains` | 161 | 15 |\n", "| 10-02 | Central Siberia | `10-02_central_siberia` | 394 | 64 |\n", "| 10-03 | Cherskiy/Suntar Khayata Ranges | `10-03_cherskiy_suntar_khayata_ranges` | 427 | 271 |\n", "| 10-04 | Altay and Sayan | `10-04_altay_and_sayan` | 3033 | 1247 |\n", "| 10-05 | Northeast Russia | `10-05_northeast_russia` | 3091 | 1041 |\n", "| 10-06 | East Chukotka | `10-06_east_chukotka` | 44 | 4 |\n", "| 10-07 | Japan | `10-07_japan` | 5 | 0 |\n", "| 11-01 | Alps | `11-01_alps` | 4034 | 2120 |\n", "| 11-02 | Southeast Europe | `11-02_southeast_europe` | 45 | 4 |\n", "| 12-01 | Caucasus and Middle East | `12-01_caucasus_and_middle_east` | 2181 | 1381 |\n", "| 12-02 | Middle East | `12-02_middle_east` | 94 | 25 |\n", "| 13-01 | Hissar Alay | `13-01_hissar_alay` | 5340 | 1954 |\n", "| 13-02 | Pamir (Safed Khirs / West Tarim) | `13-02_pamir_safed_khirs_west_tarim` | 15744 | 10465 |\n", "| 13-03 | West Tien Shan | `13-03_west_tien_shan` | 14682 | 9299 |\n", "| 13-04 | East Tien Shan (Dzhungaria) | `13-04_east_tien_shan_dzhungaria` | 6255 | 3083 |\n", "| 13-05 | West Kun Lun | `13-05_west_kun_lun` | 7906 | 8086 |\n", "| 13-06 | East Kun Lun (Altyn Tagh) | `13-06_east_kun_lun_altyn_tagh` | 3854 | 3212 |\n", "| 13-07 | Qilian Shan | `13-07_qilian_shan` | 3256 | 1666 |\n", "| 13-08 | Inner Tibet | `13-08_inner_tibet` | 11185 | 8221 |\n", "| 13-09 | Southeast Tibet | `13-09_southeast_tibet` | 7391 | 4357 |\n", "| 14-01 | Hindu Kush | `14-01_hindu_kush` | 6857 | 3049 |\n", "| 14-02 | Karakoram | `14-02_karakoram` | 17559 | 21675 |\n", "| 14-03 | West Himalaya | `14-03_west_himalaya` | 13146 | 8350 |\n", "| 15-01 | Central Himalaya | `15-01_central_himalaya` | 6127 | 6494 |\n", "| 15-02 | East Himalaya | `15-02_east_himalaya` | 5503 | 5454 |\n", "| 15-03 | Hengduan Shan | `15-03_hengduan_shan` | 6957 | 4102 |\n", "| 16-01 | Low-latitude Andes | `16-01_low_latitude_andes` | 3647 | 1920 |\n", "| 16-02 | Mexico | `16-02_mexico` | 7 | 2 |\n", "| 16-03 | East Africa | `16-03_east_africa` | 36 | 4 |\n", "| 16-04 | New Guinea | `16-04_new_guinea` | 5 | 2 |\n", "| 17-01 | Patagonia | `17-01_patagonia` | 17454 | 24040 |\n", "| 17-02 | Central Andes | `17-02_central_andes` | 13180 | 3634 |\n", "| 18-01 | New Zealand | `18-01_new_zealand` | 3018 | 886 |\n", "| 19-01 | Subantarctic (Pacific) | `19-01_subantarctic_pacific` | 15 | 134 |\n", "| 19-02 | South Shetlands and South Orkney | `19-02_south_shetlands_and_south_orkney` | 401 | 3715 |\n", "| 19-03 | Subantarctic (Atlantic) | `19-03_subantarctic_atlantic` | 550 | 2475 |\n", "| 19-04 | Subantarctic (Indian) | `19-04_subantarctic_indian` | 489 | 796 |\n", "| 19-05 | Balleny Islands | `19-05_balleny_islands` | 50 | 694 |\n", "| 19-11 | East Queen Maud Land 7A | `19-11_east_queen_maud_land_7a` | 22 | 2681 |\n", "| 19-12 | Amery Ice Shelf 7B | `19-12_amery_ice_shelf_7b` | 1 | 305 |\n", "| 19-13 | Wilkes Land 7C | `19-13_wilkes_land_7c` | 7 | 2685 |\n", "| 19-14 | Victoria Land 7D | `19-14_victoria_land_7d` | 54 | 652 |\n", "| 19-15 | Ross Ice Shelf 7E | `19-15_ross_ice_shelf_7e` | 111 | 2619 |\n", "| 19-16 | Marie Byrd Land 7F | `19-16_marie_byrd_land_7f` | 63 | 17950 |\n", "| 19-17 | Pine Island Bay 7G | `19-17_pine_island_bay_7g` | 17 | 376 |\n", "| 19-18 | Bellingshausen Sea 7H1 | `19-18_bellingshausen_sea_7h1` | 20 | 14861 |\n", "| 19-19 | Alexander Island 7H2 | `19-19_alexander_island_7h2` | 119 | 61170 |\n", "| 19-20 | West Antarctic Peninsula 7I1 | `19-20_west_antarctic_peninsula_7i1` | 637 | 9287 |\n", "| 19-21 | Northeast Antarctic Peninsula 7I2 | `19-21_northeast_antarctic_peninsula_7i2` | 166 | 5377 |\n", "| 19-22 | Southeast Antarctic Peninsula 7I3 | `19-22_southeast_antarctic_peninsula_7i3` | 6 | 1780 |\n", "| 19-23 | Ronne-Filchner Ice Shelf 7J | `19-23_ronne_filchner_ice_shelf_7j` | 0 | 0 |\n", "| 19-24 | West Queen Maud Land 7K | `19-24_west_queen_maud_land_7k` | 14 | 5878 |\n", "| 20-01 | Antarctic Mainland | `20-01_antarctic_mainland` | 0 | 0 |\n", "| Global | | | 274531 | 706744 |\n" ] } ], "source": [ "print(dfsr.to_markdown())" ] }, { "cell_type": "code", "execution_count": 37, "id": "2160a584-3083-4615-9c5a-d973c25c1063", "metadata": {}, "outputs": [], "source": [ "dfsr['Code'] = [s.replace(\"`\", \"\") for s in dfsr['Code']]\n", "dfsr.columns = [['full_name', 'long_code', 'count', 'area_km2']]\n", "dfsr.index.name = 'o2region'\n", "dfsr.reset_index().to_csv(user_guide_dir + '/docs/appendix/RGI2000-v7.0-G-o2region-summary.csv', index=False, quoting=csv.QUOTE_NONNUMERIC)" ] }, { "cell_type": "markdown", "id": "892037d2-e4a4-4a49-9b07-b714f72662dc", "metadata": { "tags": [] }, "source": [ "## Global statistics (`06_dataset_summary.md`) " ] }, { "cell_type": "code", "execution_count": 38, "id": "baa4f9f8-bb2e-4068-b3be-03f8bcd0497b", "metadata": {}, "outputs": [], "source": [ "rgi6 = df_rgi6g.copy()\n", "rgi7 = df_rgi7g.copy()" ] }, { "cell_type": "markdown", "id": "ab975535-94e8-40ba-9e34-735a33a8f72d", "metadata": {}, "source": [ "### Target year " ] }, { "cell_type": "code", "execution_count": 39, "id": "81c9b80b-f9e4-4868-8093-413aa5e2a5fa", "metadata": {}, "outputs": [], "source": [ "rgi7['year'] = [int(y.split('-')[0]) for y in rgi7['src_date']]\n", "rgi6['year'] = [int(y[0:4]) for y in rgi6['BgnDate']]" ] }, { "cell_type": "code", "execution_count": 40, "id": "7785a4e0-343c-4471-a463-33242477fbe6", "metadata": {}, "outputs": [], "source": [ "dy6 = np.abs(rgi6['year'] - 2000)\n", "dy7 = np.abs(rgi7['year'] - 2000)" ] }, { "cell_type": "code", "execution_count": 41, "id": "22d941e1-6d1c-4bac-b281-53c03f081fe5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RGI 6.0 (%)RGI 7.0 (%)
Outline year
2000 ± 2 years48.958.0
2000 ± 2-5 years15.918.7
2000 ± 5-10 years27.019.5
2000 ± > 10 years8.23.8
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" ], "text/plain": [ " RGI 6.0 (%) RGI 7.0 (%)\n", "Outline year \n", "2000 ± 2 years 48.9 58.0\n", "2000 ± 2-5 years 15.9 18.7\n", "2000 ± 5-10 years 27.0 19.5\n", "2000 ± > 10 years 8.2 3.8" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ydf = pd.DataFrame()\n", "ydf.loc['2000 ± 2 years', 'RGI6 (%)'] = (dy6 <= 2).sum() / len(rgi6) * 100\n", "ydf.loc['2000 ± 2 years', 'RGI7 (%)'] = (dy7 <= 2).sum() / len(rgi7) * 100\n", "ydf.loc['2000 ± 2-5 years', 'RGI6 (%)'] = ((dy6 <= 5) & (dy6 > 2)).sum() / len(rgi6) * 100\n", "ydf.loc['2000 ± 2-5 years', 'RGI7 (%)'] = ((dy7 <= 5) & (dy7 > 2)).sum() / len(rgi7) * 100\n", "ydf.loc['2000 ± 5-10 years', 'RGI6 (%)'] = ((dy6 <= 10) & (dy6 > 5)).sum() / len(rgi6) * 100\n", "ydf.loc['2000 ± 5-10 years', 'RGI7 (%)'] = ((dy7 <= 10) & (dy7 > 5)).sum() / len(rgi7) * 100\n", "ydf.loc['2000 ± > 10 years', 'RGI6 (%)'] = (dy6 > 10).sum() / len(rgi6) * 100\n", "ydf.loc['2000 ± > 10 years', 'RGI7 (%)'] = (dy7 > 10).sum() / len(rgi7) * 100\n", "ydf = ydf.round(1)\n", "ydf.index.name = 'Outline year'\n", "ydf.columns = ['RGI 6.0 (%)', 'RGI 7.0 (%)']\n", "ydf" ] }, { "cell_type": "code", "execution_count": 42, "id": "3811feaf-1d4f-4ef3-b97b-99cf98e24818", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| Outline year | RGI 6.0 (%) | RGI 7.0 (%) |\n", "|:------------------|--------------:|--------------:|\n", "| 2000 ± 2 years | 48.9 | 58 |\n", "| 2000 ± 2-5 years | 15.9 | 18.7 |\n", "| 2000 ± 5-10 years | 27 | 19.5 |\n", "| 2000 ± > 10 years | 8.2 | 3.8 |\n" ] } ], "source": [ "print(ydf.to_markdown())" ] }, { "cell_type": "markdown", "id": "01a7179b-55ad-4993-a3f5-90ac766dc784", "metadata": {}, "source": [ "Same but with area (less good):" ] }, { "cell_type": "code", "execution_count": 43, "id": "56eaf5ac-aeaa-4cca-88ba-d89998114d56", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RGI 6.0 (%)RGI 7.0 (%)
Outline year
2000 ± 2 years54.455.8
2000 ± 2-5 years11.415.4
2000 ± 5-10 years20.920.0
2000 ± > 10 years13.38.8
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" ], "text/plain": [ " RGI 6.0 (%) RGI 7.0 (%)\n", "Outline year \n", "2000 ± 2 years 54.4 55.8\n", "2000 ± 2-5 years 11.4 15.4\n", "2000 ± 5-10 years 20.9 20.0\n", "2000 ± > 10 years 13.3 8.8" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ydf = pd.DataFrame()\n", "ydf.loc['2000 ± 2 years', 'RGI6 (%)'] = rgi6.loc[(dy6 <= 2)].Area.sum() / rgi6.Area.sum() * 100\n", "ydf.loc['2000 ± 2 years', 'RGI7 (%)'] = rgi7.loc[(dy7 <= 2)].area_km2.sum() / rgi7.area_km2.sum() * 100\n", "ydf.loc['2000 ± 2-5 years', 'RGI6 (%)'] = rgi6.loc[((dy6 <= 5) & (dy6 > 2))].Area.sum() / rgi6.Area.sum() * 100\n", "ydf.loc['2000 ± 2-5 years', 'RGI7 (%)'] = rgi7.loc[((dy7 <= 5) & (dy7 > 2))].area_km2.sum() / rgi7.area_km2.sum() * 100\n", "ydf.loc['2000 ± 5-10 years', 'RGI6 (%)'] = rgi6.loc[((dy6 <= 10) & (dy6 > 5))].Area.sum() / rgi6.Area.sum() * 100\n", "ydf.loc['2000 ± 5-10 years', 'RGI7 (%)'] = rgi7.loc[((dy7 <= 10) & (dy7 > 5))].area_km2.sum() / rgi7.area_km2.sum() * 100\n", "ydf.loc['2000 ± > 10 years', 'RGI6 (%)'] = rgi6.loc[(dy6 > 10)].Area.sum() / rgi6.Area.sum() * 100\n", "ydf.loc['2000 ± > 10 years', 'RGI7 (%)'] = rgi7.loc[(dy7 > 10)].area_km2.sum() / rgi7.area_km2.sum() * 100\n", "ydf = ydf.round(1)\n", "ydf.index.name = 'Outline year'\n", "ydf.columns = ['RGI 6.0 (%)', 'RGI 7.0 (%)']\n", "ydf" ] }, { "cell_type": "markdown", "id": "16897360-a0c1-4b61-85de-b167ebc2a99d", "metadata": {}, "source": [ "### More year statistics " ] }, { "cell_type": "code", "execution_count": 44, "id": "353b0cdf-15fe-48e1-85d8-05b4b82c425d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1943, 2021)" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rgi7['year'].min(), rgi7['year'].max()" ] }, { "cell_type": "code", "execution_count": 45, "id": "50fbfb6e-4b38-45f3-bfbc-9f9522cd8b35", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.028608790992638355" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(rgi7['year'] < 1990).sum() / len(rgi7)" ] }, { "cell_type": "markdown", "id": "72f463fe-9959-45cc-9615-c82d3fbcafff", "metadata": { "tags": [] }, "source": [ "### Size classes " ] }, { "cell_type": "code", "execution_count": 46, "id": "4523f5fc-b250-48c7-b161-ca0200026b52", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RGI 6.0 (N)RGI 6.0 (%)RGI 7.0 (N)RGI 7.0 (%)
Area
< 1 km²17057679.122962683.6
1-10 km²3805417.73808113.9
10-100 km²59552.858302.1
> 100 km²9620.49940.4
Total215547100.0274531100.0
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" ], "text/plain": [ " RGI 6.0 (N) RGI 6.0 (%) RGI 7.0 (N) RGI 7.0 (%)\n", "Area \n", "< 1 km² 170576 79.1 229626 83.6\n", "1-10 km² 38054 17.7 38081 13.9\n", "10-100 km² 5955 2.8 5830 2.1\n", "> 100 km² 962 0.4 994 0.4\n", "Total 215547 100.0 274531 100.0" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "adf = pd.DataFrame()\n", "adf.loc['< 1 km²', 'RGI6 (N)'] = (rgi6['Area'] < 1).sum()\n", "adf.loc['< 1 km²', 'RGI6 (%)'] = (rgi6['Area'] < 1).sum() / len(rgi6) * 100\n", "adf.loc['< 1 km²', 'RGI7 (N)'] = (rgi7['area_km2'] < 1).sum()\n", "adf.loc['< 1 km²', 'RGI7 (%)'] = (rgi7['area_km2'] < 1).sum() / len(rgi7) * 100\n", "adf.loc['1-10 km²', 'RGI6 (N)'] = ((rgi6['Area'] >= 1) & (rgi6['Area'] < 10)).sum()\n", "adf.loc['1-10 km²', 'RGI6 (%)'] = ((rgi6['Area'] >= 1) & (rgi6['Area'] < 10)).sum() / len(rgi6) * 100\n", "adf.loc['1-10 km²', 'RGI7 (N)'] = ((rgi7['area_km2'] >= 1) & (rgi7['area_km2'] < 10)).sum()\n", "adf.loc['1-10 km²', 'RGI7 (%)'] = ((rgi7['area_km2'] >= 1) & (rgi7['area_km2'] < 10)).sum() / len(rgi7) * 100\n", "adf.loc['10-100 km²', 'RGI6 (N)'] = ((rgi6['Area'] >= 10) & (rgi6['Area'] < 100)).sum()\n", "adf.loc['10-100 km²', 'RGI6 (%)'] = ((rgi6['Area'] >= 10) & (rgi6['Area'] < 100)).sum() / len(rgi6) * 100\n", "adf.loc['10-100 km²', 'RGI7 (N)'] = ((rgi7['area_km2'] >= 10) & (rgi7['area_km2'] < 100)).sum()\n", "adf.loc['10-100 km²', 'RGI7 (%)'] = ((rgi7['area_km2'] >= 10) & (rgi7['area_km2'] < 100)).sum() / len(rgi7) * 100\n", "adf.loc['> 100 km²', 'RGI6 (N)'] = (rgi6['Area'] >= 100).sum()\n", "adf.loc['> 100 km²', 'RGI6 (%)'] = (rgi6['Area'] >= 100).sum() / len(rgi6) * 100\n", "adf.loc['> 100 km²', 'RGI7 (N)'] = (rgi7['area_km2'] >= 100).sum()\n", "adf.loc['> 100 km²', 'RGI7 (%)'] = (rgi7['area_km2'] >= 100).sum() / len(rgi7) * 100\n", "adf.loc['Total'] = adf.sum()\n", "adf[['RGI6 (N)', 'RGI7 (N)']] = adf[['RGI6 (N)', 'RGI7 (N)']].astype(int)\n", "adf[['RGI6 (%)', 'RGI7 (%)']] = adf[['RGI6 (%)', 'RGI7 (%)']].round(1)\n", "adf.index.name = 'Area'\n", "adf.columns = ['RGI 6.0 (N)', 'RGI 6.0 (%)', 'RGI 7.0 (N)', 'RGI 7.0 (%)']\n", "adf" ] }, { "cell_type": "code", "execution_count": 47, "id": "64ed8b26-17f7-40ec-bd90-40b0f069c19b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| Area | RGI 6.0 (N) | RGI 6.0 (%) | RGI 7.0 (N) | RGI 7.0 (%) |\n", "|:-----------|--------------:|--------------:|--------------:|--------------:|\n", "| < 1 km² | 170576 | 79.1 | 229626 | 83.6 |\n", "| 1-10 km² | 38054 | 17.7 | 38081 | 13.9 |\n", "| 10-100 km² | 5955 | 2.8 | 5830 | 2.1 |\n", "| > 100 km² | 962 | 0.4 | 994 | 0.4 |\n", "| Total | 215547 | 100 | 274531 | 100 |\n" ] } ], "source": [ "print(adf.to_markdown())" ] }, { "cell_type": "code", "execution_count": 48, "id": "ab9454ff-7796-4b1d-b9d1-53b0a8092e92", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with sns.plotting_context('talk'), sns.axes_style('ticks'):\n", "\n", " bins = np.logspace(-2, 3, 100)\n", "\n", " h7c, b7c = np.histogram(df_rgi7c['area_km2'], bins=bins)\n", " h7, b7 = np.histogram(rgi7['area_km2'], bins=bins)\n", " h6, b6 = np.histogram(rgi6['Area'], bins=bins)\n", "\n", " f, ax = plt.subplots(figsize=(10, 6))\n", " ax.plot(b6[:-1], h6, label='RGI 6.0');\n", " ax.plot(b7[:-1], h7, label='RGI 7.0');\n", " ax.plot(b7c[:-1], h7c, label='RGI 7.0 C');\n", " ax.set_xscale('log')\n", " ax.set_yscale('log')\n", " ax.set_ylim([7, 5e4])\n", " plt.legend()\n", " ax.set_title('Number of glaciers per size category (global)')\n", " ax.set_xlabel('Glacier area (km², logscale)');\n", " ax.set_ylabel('Glacier number (logscale)');" ] }, { "cell_type": "code", "execution_count": 222, "id": "8f393785-4bc8-455b-ac6e-e2654307d678", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "with sns.plotting_context('talk'), sns.axes_style('ticks'):\n", "\n", " bins = np.logspace(-2, 3.9, 100)\n", "\n", " h7, b7 = np.histogram(rgi7['area_km2'], bins=bins)\n", " h6, b6 = np.histogram(rgi6['Area'], bins=bins)\n", "\n", " f, ax = plt.subplots(figsize=(12, 9))\n", " ax.plot(b6[:-1], h6, color='C0', label='RGI 6.0');\n", " ax.plot(b7[:-1], h7, color='C3', label='RGI 7.0');\n", " ax.set_xlim(np.logspace(-2, 3, 100)[[0, -1]])\n", " ax.set_ylim(5, 12**5)\n", " ax.set_xscale('log')\n", " ax.set_yscale('log')\n", " plt.legend()\n", " ax.set_title('Number of glaciers per size category (global)')\n", " ax.set_xlabel('Glacier area (km², logscale)');\n", " ax.set_ylabel('Glacier number (logscale)');" ] }, { "cell_type": "code", "execution_count": 73, "id": "7b117002-d85c-4062-98dd-2d703abbd725", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1000" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "10**3" ] }, { "cell_type": "code", "execution_count": 245, "id": "5176beb1-f4d5-4adc-aaa0-2b79ae674564", "metadata": {}, "outputs": [], "source": [ "rgi7_orig = rgi7.copy()" ] }, { "cell_type": "code", "execution_count": 248, "id": "3a580c57-bce0-4d5f-92b8-4c518a8d027c", "metadata": {}, "outputs": [], "source": [ "rgi7 = rgi7.loc[rgi7.o1region.isin(['13', '15', '14'])].copy()" ] }, { "cell_type": "code", "execution_count": 249, "id": "6ad760b5-f6d4-4de7-b67e-1ff8355b032e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 0\n", "4073630.52718527\n", "156426.0\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_1044561/1039268148.py:14: RuntimeWarning: divide by zero encountered in log\n", " log_y = np.log(h7)\n" ] }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "bins = np.logspace(-2, 3.9, 100)\n", "\n", "h7, b7 = np.histogram(rgi7['area_km2'], bins=bins)\n", "h6, b6 = np.histogram(rgi6['Area'], bins=bins)\n", "\n", "print(len(rgi7['area_km2'])- h7.sum(), len(rgi6['Area']) - h6.sum())\n", "\n", "\n", "from scipy import stats\n", "\n", "# Fit in log space \n", "b7_med = (b7[1:] + b7[:-1]) / 2\n", "log_x = np.log(b7_med)\n", "log_y = np.log(h7)\n", "\n", "loc = (log_x >= 0) & (log_x < np.log(100))\n", "\n", "slope, intercept, r_value, p_value, std_err = stats.linregress(log_x[loc], log_y[loc])\n", "\n", "fit = np.exp(intercept) * (b7_med ** slope)\n", "\n", "fit_flat = fit.copy()\n", "fit_flat[(fit > np.max(h7)) & (b7_med <= b7_med[np.argmax(h7)])] = np.max(h7)\n", "ll= b7_med > b7_med[np.argmax(h7)]\n", "fit_flat[ll] = h7[ll]\n", "\n", " \n", "# We really fit only where glaciers are smaller than 5 AND the fit is larger\n", "fit = np.where((b7_med < 5) & (fit > h7), fit, h7)\n", "fit_flat = np.where((b7_med < 5) & (fit_flat > h7), fit_flat, h7)\n", "\n", "with sns.plotting_context('talk'), sns.axes_style('ticks'):\n", "\n", " f, ax = plt.subplots(figsize=(12, 9))\n", " ax.plot(b7_med, fit_flat, color='C0', linestyle='--', label='Fit A');\n", " ax.fill_between(b7_med, h7, fit_flat, color='C0', alpha=0.4)\n", " \n", " ax.plot(b7_med, fit, color='C0', label='Fit B');\n", " ax.fill_between(b7_med, h7, fit, color='C0', alpha=0.4)\n", " \n", " ax.plot(b7_med, h7, color='C3', label='RGI 7.0');\n", " ax.set_xlim(np.logspace(-2, 3, 100)[[0, -1]])\n", " ax.set_ylim(5, 12**5)\n", " ax.set_xscale('log')\n", " ax.set_yscale('log')\n", " plt.legend()\n", " ax.set_title('Number of glaciers per size category (global)')\n", " ax.set_xlabel('Glacier area (km², logscale)');\n", " ax.set_ylabel('Glacier number (logscale)');\n", "\n", "\n", "print(fit.sum())\n", "print(fit_flat.sum())" ] }, { "cell_type": "code", "execution_count": 250, "id": "2593f27f-26f3-4b1b-9c11-5316406efe70", "metadata": {}, "outputs": [], "source": [ "from oggm import utils\n", "dfit = pd.read_hdf(utils.get_demo_file('rgi62_itmix_df.h5'))\n", "dfit = dfit.loc[~dfit.vol_itmix_m3.isnull()].copy()" ] }, { "cell_type": "code", "execution_count": 251, "id": "666ade5b-27c7-45e6-9cd5-9b146aad60e9", "metadata": {}, "outputs": [], "source": [ "dfit['rgi_area_km2'] = rgi6['Area']\n", "dfit['vol_km3'] = dfit['vol_itmix_m3'] * 1e-9\n", "# For some erason ITMIX has a few small connect 2\n", "dfit = dfit.loc[~dfit['rgi_area_km2'].isnull()].copy()" ] }, { "cell_type": "code", "execution_count": 252, "id": "b5221142-b2d6-4460-a514-dc7164b3a29d", "metadata": {}, "outputs": [], "source": [ "# Fit in log space \n", "dfl = np.log(dfit[['vol_km3', 'rgi_area_km2']])\n", "slope, intercept, r_value, p_value, std_err = stats.linregress(dfl.rgi_area_km2.values, dfl.vol_km3.values)" ] }, { "cell_type": "code", "execution_count": 253, "id": "33143885-8f0c-47bc-87c8-9b12d5e15a29", "metadata": {}, "outputs": [], "source": [ "dfit['volfit_km3'] = np.exp(intercept) * (dfit['rgi_area_km2'] ** slope)" ] }, { "cell_type": "code", "execution_count": 254, "id": "31cf5bbc-62d6-401e-9761-abf11c1cec4b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "vol_itmix_m3 1.581566e+14\n", "vol_bsl_itmix_m3 2.402960e+13\n", "rgi_area_km2 7.057388e+05\n", "vol_km3 1.581566e+05\n", "volfit_km3 1.479803e+05\n", "dtype: float64" ] }, "execution_count": 254, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfit.sum()" ] }, { "cell_type": "code", "execution_count": 255, "id": "47d12188-937f-423b-ae15-f92b55053fbc", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "vol_itmix_m3 1.161055e+12\n", "vol_bsl_itmix_m3 1.370287e+10\n", "rgi_area_km2 4.356073e+04\n", "vol_km3 1.161055e+03\n", "volfit_km3 1.166313e+03\n", "dtype: float64" ] }, "execution_count": 255, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dfit.loc[dfit['rgi_area_km2'] < 1].sum()" ] }, { "cell_type": "code", "execution_count": 256, "id": "358292f9-e6d9-41e0-895a-76348a333c1b", "metadata": {}, "outputs": [], "source": [ "rgi7['volfit_km3'] = np.exp(intercept) * (rgi7['area_km2'] ** slope)" ] }, { "cell_type": "code", "execution_count": 257, "id": "1f36f2f5-4291-441a-91e2-6059afafeabd", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "7991.155800598579" ] }, "execution_count": 257, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rgi7['volfit_km3'].sum()" ] }, { "cell_type": "code", "execution_count": 258, "id": "1edecf43-1b8e-493f-9f43-ebf9e9d9d482", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0.05400146607792166, 0.05052685681555586)" ] }, "execution_count": 258, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rgi7['volfit_km3'].sum() / dfit['volfit_km3'].sum(), rgi7['volfit_km3'].sum() / dfit['vol_km3'].sum()" ] }, { "cell_type": "code", "execution_count": 259, "id": "98d6700a-1c99-4767-8ccd-76860b6ae03c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1.0049234390756563" ] }, "execution_count": 259, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# In binned space\n", "# Try to reconstruct area from bins\n", "(b7_med * h7).sum() / rgi7['area_km2'].sum()" ] }, { "cell_type": "code", "execution_count": 260, "id": "b1ba1b81-cb11-4a4c-9b21-9832c0e185df", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(128931.63548058932, 2.2898564083513566)" ] }, "execution_count": 260, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Area unnacounted for\n", "(b7_med * fit).sum() - (b7_med * h7).sum(), (b7_med * fit).sum()/(b7_med * h7).sum()" ] }, { "cell_type": "code", "execution_count": 261, "id": "5e1841e3-1739-4810-9e6b-14b1d230402b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(530.7233086816559, 1.0053094561176765)" ] }, "execution_count": 261, "metadata": {}, "output_type": "execute_result" } ], "source": [ "(b7_med * fit_flat).sum() - (b7_med * h7).sum(), (b7_med * fit_flat).sum()/(b7_med * h7).sum()" ] }, { "cell_type": "code", "execution_count": 262, "id": "78e673ea-ea09-4c1d-85d7-dd8c676ed697", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(8082.019956675785, 1.0113705899802878)" ] }, "execution_count": 262, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# VAS vol per bin class times number\n", "vol_rec_bins = np.exp(intercept) * (b7_med ** slope) * h7\n", "vol_rec_bins.sum(), vol_rec_bins.sum()/rgi7['volfit_km3'].sum()" ] }, { "cell_type": "code", "execution_count": 263, "id": "54478c02-69c9-48af-9007-70a15e1e58da", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(2000.5715660859578, 1.2475336087772806)" ] }, "execution_count": 263, "metadata": {}, "output_type": "execute_result" } ], "source": [ "volfit_rec_bins = np.exp(intercept) * (b7_med ** slope) * fit\n", "volfit_rec_bins.sum() - vol_rec_bins.sum(), volfit_rec_bins.sum()/vol_rec_bins.sum()" ] }, { "cell_type": "code", "execution_count": 264, "id": "3be9df88-c30a-43c9-90c7-187dc277b41d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(8087.939366915615, 1.0007324171768397)" ] }, "execution_count": 264, "metadata": {}, "output_type": "execute_result" } ], "source": [ "volfitflat_rec_bins = np.exp(intercept) * (b7_med ** slope) * fit_flat\n", "volfitflat_rec_bins.sum(), volfitflat_rec_bins.sum()/vol_rec_bins.sum()" ] }, { "cell_type": "code", "execution_count": null, "id": "c7993623-d71d-441b-9d14-ee75c7897437", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 106, "id": "1153d2fd-3eab-457d-a53f-cebb1b489f21", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1828743.32341008\n", "314696.65513866924\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.logspace(-2, 3, 100)\n", "\n", "h7, b7 = np.histogram(rgi7['area_km2'], bins=bins)\n", "h6, b6 = np.histogram(rgi6['Area'], bins=bins)\n", "\n", "len(rgi7['area_km2'])- h7.sum(), len(rgi6['Area']) - h6.sum()\n", "\n", "\n", "from scipy import stats\n", "\n", "# Fit in log space \n", "b7_med = (b6[1:] + b6[:-1]) / 2\n", "log_x = np.log(b7_med)\n", "log_y = np.log(h6)\n", "\n", "loc = (log_x >= 0) & (log_x < np.log(100))\n", "\n", "slope, intercept, r_value, p_value, std_err = stats.linregress(log_x[loc], log_y[loc])\n", "\n", "fit = np.exp(intercept) * (b7_med ** slope)\n", "\n", "fit_flat = fit.copy()\n", "fit_flat[fit > np.max(h6)] = np.max(h6)\n", "\n", "with sns.plotting_context('talk'), sns.axes_style('ticks'):\n", "\n", " f, ax = plt.subplots(figsize=(12, 7))\n", " ax.plot(b7_med, fit_flat, color='C1', label='Fitflat');\n", " ax.plot(b7_med, fit, color='C0', label='Fit');\n", " ax.plot(b7_med, h6, color='C3', label='RGI 6.0');\n", " ax.set_xscale('log')\n", " ax.set_yscale('log')\n", " plt.legend()\n", " ax.set_title('Number of glaciers per size category (global)')\n", " ax.set_xlabel('Glacier area (km², logscale)');\n", " ax.set_ylabel('Glacier number (logscale)');\n", "\n", "print(fit.sum())\n", "print(fit_flat.sum())" ] }, { "cell_type": "code", "execution_count": 104, "id": "ce293090-1c28-4bff-8ba9-a6bb75753f93", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1223751.826111859\n", "230700.00052662854\n" ] }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "bins = np.logspace(-2, 3, 100)\n", "\n", "h7, b7 = np.histogram(rgi7['area_km2'], bins=bins)\n", "h6, b6 = np.histogram(rgi6['Area'], bins=bins)\n", "h7c, b7c = np.histogram(df_rgi7c['area_km2'], bins=bins)\n", "\n", "from scipy import stats\n", "\n", "# Fit in log space \n", "b7_med = (b7c[1:] + b7c[:-1]) / 2\n", "log_x = np.log(b7_med)\n", "log_y = np.log(h7c)\n", "\n", "loc = (log_x >= 0) & (log_x < np.log(100))\n", "\n", "slope, intercept, r_value, p_value, std_err = stats.linregress(log_x[loc], log_y[loc])\n", "\n", "fit = np.exp(intercept) * (b7_med ** slope)\n", "\n", "fit_flat = fit.copy()\n", "fit_flat[fit > np.max(h7c)] = np.max(h7c)\n", "\n", "with sns.plotting_context('talk'), sns.axes_style('ticks'):\n", "\n", " f, ax = plt.subplots(figsize=(12, 7))\n", " ax.plot(b7_med, fit_flat, color='C1', label='Fitflat');\n", " ax.plot(b7_med, fit, color='C0', label='Fit');\n", " ax.plot(b7_med, h7c, color='C3', label='RGI 7.0C');\n", " ax.set_xscale('log')\n", " ax.set_yscale('log')\n", " plt.legend()\n", " ax.set_title('Number of glaciers per size category (global)')\n", " ax.set_xlabel('Glacier area (km², logscale)');\n", " ax.set_ylabel('Glacier number (logscale)');\n", "\n", "print(fit.sum())\n", "print(fit_flat.sum())" ] }, { "cell_type": "code", "execution_count": null, "id": "c1127adf-7c7b-4a37-a13c-658c7bb98563", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "5301c8ef-9e8b-49e5-8671-2ee16de8da2f", "metadata": {}, "source": [ "### Global attributes statistics " ] }, { "cell_type": "code", "execution_count": 96, "id": "027597ae-e0a1-454c-9fd2-517979333fba", "metadata": {}, "outputs": [], "source": [ "rgi7['rgi_id'] = rgi7.index\n", "rgi6['RGIId'] = rgi6.index" ] }, { "cell_type": "markdown", "id": "fa1de6f9-5cf5-4b02-94d3-fe5d3a70637c", "metadata": {}, "source": [ "#### Terminus " ] }, { "cell_type": "code", "execution_count": 97, "id": "14208a8d-a0c2-4c38-ae1d-9e3ada1828a2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Terminus typeRGI 7.0 (N)RGI 6.0 (N)RGI 7.0 (Area)RGI 6.0 (Area)
Value
0Land-terminating02120050397096
1Marine-terminating15613075159302197514
2Lake-terminating0298027172
3Shelf-terminating0169083958
9Not assigned27297005474420
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" ], "text/plain": [ " Terminus type RGI 7.0 (N) RGI 6.0 (N) RGI 7.0 (Area) \\\n", "Value \n", "0 Land-terminating 0 212005 0 \n", "1 Marine-terminating 1561 3075 159302 \n", "2 Lake-terminating 0 298 0 \n", "3 Shelf-terminating 0 169 0 \n", "9 Not assigned 272970 0 547442 \n", "\n", " RGI 6.0 (Area) \n", "Value \n", "0 397096 \n", "1 197514 \n", "2 27172 \n", "3 83958 \n", "9 0 " ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rdf = pd.DataFrame(index=[0, 1, 2, 3, 9])\n", "rdf.index.name = 'Value'\n", "rdf['Terminus type'] = ['Land-terminating', 'Marine-terminating', 'Lake-terminating', 'Shelf-terminating', 'Not assigned']\n", "rdf['RGI7 (N)'] = rgi7.groupby('term_type').count()['rgi_id']\n", "rdf['RGI6 (N)'] = rgi6.groupby('TermType').count()['RGIId'].reset_index(drop=True)\n", "rdf['RGI7 (Area)'] = rgi7.groupby('term_type')['area_km2'].sum().round(0).astype(int)\n", "rdf['RGI6 (Area)'] = rgi6.groupby('TermType')['Area'].sum().round(0).reset_index(drop=True)\n", "rdf = rdf.replace(np.NaN, 0)\n", "rdf[['RGI7 (N)', 'RGI6 (N)']] = rdf[['RGI7 (N)', 'RGI6 (N)']].astype(int)\n", "rdf[['RGI7 (Area)', 'RGI6 (Area)']] = rdf[['RGI7 (Area)', 'RGI6 (Area)']].astype(int)\n", "rdf.columns = ['Terminus type', 'RGI 7.0 (N)', 'RGI 6.0 (N)', 'RGI 7.0 (Area)', 'RGI 6.0 (Area)']\n", "rdf" ] }, { "cell_type": "code", "execution_count": 98, "id": "6ff319f3-f933-4dec-90ff-55973bd8b886", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| Value | Terminus type | RGI 7.0 (N) | RGI 6.0 (N) | RGI 7.0 (Area) | RGI 6.0 (Area) |\n", "|--------:|:-------------------|--------------:|--------------:|-----------------:|-----------------:|\n", "| 0 | Land-terminating | 0 | 212005 | 0 | 397096 |\n", "| 1 | Marine-terminating | 1561 | 3075 | 159302 | 197514 |\n", "| 2 | Lake-terminating | 0 | 298 | 0 | 27172 |\n", "| 3 | Shelf-terminating | 0 | 169 | 0 | 83958 |\n", "| 9 | Not assigned | 272970 | 0 | 547442 | 0 |\n" ] } ], "source": [ "print(rdf.to_markdown())" ] }, { "cell_type": "markdown", "id": "fe233104-0106-42d7-8342-09881de0f310", "metadata": {}, "source": [ "#### Surging " ] }, { "cell_type": "code", "execution_count": 99, "id": "5d4a115d-af49-4011-a129-fad610e090b0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Surge typeRGI 7.0 (N)RGI 6.0 (N)RGI 7.0 (Area)RGI 6.0 (Area)
Value
0No evidence27190142515566418127426
1Possible6305092333423622
2Probable8253833125419376
3Observed11754488573843066
9Not assigned01716920492249
\n", "
" ], "text/plain": [ " Surge type RGI 7.0 (N) RGI 6.0 (N) RGI 7.0 (Area) RGI 6.0 (Area)\n", "Value \n", "0 No evidence 271901 42515 566418 127426\n", "1 Possible 630 509 23334 23622\n", "2 Probable 825 383 31254 19376\n", "3 Observed 1175 448 85738 43066\n", "9 Not assigned 0 171692 0 492249" ] }, "execution_count": 99, "metadata": {}, "output_type": "execute_result" } ], "source": [ "rdf = pd.DataFrame(index=[0, 1, 2, 3, 9])\n", "rdf.index.name = 'Value'\n", "rdf['Surging'] = ['No evidence', 'Possible', 'Probable', 'Observed', 'Not assigned']\n", "rdf['RGI7 (N)'] = rgi7.groupby('surge_type').count()['rgi_id']\n", "rdf['RGI6 (N)'] = rgi6.groupby('Surging').count()['RGIId']\n", "rdf['RGI7 (Area)'] = rgi7.groupby('surge_type')['area_km2'].sum().round(0).astype(int)\n", "rdf['RGI6 (Area)'] = rgi6.groupby('Surging')['Area'].sum().round(0).astype(int)\n", "rdf = rdf.replace(np.NaN, 0)\n", "rdf[['RGI7 (N)', 'RGI6 (N)']] = rdf[['RGI7 (N)', 'RGI6 (N)']].astype(int)\n", "rdf[['RGI7 (Area)', 'RGI6 (Area)']] = rdf[['RGI7 (Area)', 'RGI6 (Area)']].astype(int)\n", "rdf.columns = ['Surge type', 'RGI 7.0 (N)', 'RGI 6.0 (N)', 'RGI 7.0 (Area)', 'RGI 6.0 (Area)']\n", "rdf" ] }, { "cell_type": "code", "execution_count": 100, "id": "acd3b2ec-7ccf-4a0b-9800-1af203beb0e7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "| Value | Surge type | RGI 7.0 (N) | RGI 6.0 (N) | RGI 7.0 (Area) | RGI 6.0 (Area) |\n", "|--------:|:-------------|--------------:|--------------:|-----------------:|-----------------:|\n", "| 0 | No evidence | 271901 | 42515 | 566418 | 127426 |\n", "| 1 | Possible | 630 | 509 | 23334 | 23622 |\n", "| 2 | Probable | 825 | 383 | 31254 | 19376 |\n", "| 3 | Observed | 1175 | 448 | 85738 | 43066 |\n", "| 9 | Not assigned | 0 | 171692 | 0 | 492249 |\n" ] } ], "source": [ "print(rdf.to_markdown())" ] }, { "cell_type": "code", "execution_count": null, "id": "f8ac9bb4-545d-4774-ae1b-96e73ff42da7", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.8" } }, "nbformat": 4, "nbformat_minor": 5 }