Pre-defined data catalogs#
This page contains a list of (global) datasets which can be used with various HydroMT models and workflows. Below are drop down lists with datasets per pre-defined data catalog for use with HydroMT. The summary per dataset contains links to the online source and available literature.
The deltares_data catalog is only available within the Deltares network. However a selection of this data for a the
Piave basin (Northern Italy) is available online in the artifact_data archive and will be used if no data catalog is provided.
Local or other datasets can also be included by extending the data catalog with new yaml data catalog files.
We plan to provide more data catalogs with open data sources in the (near) future.
deltares_data
This data is only accessible when connected to the Deltares network.
gadm
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/gadm/gadm36_levels.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
3.6
osm_coastlines
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_coastlines-db.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
osm_landareas
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_landareas-db.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
grwl_mask
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/grwl/tindex.gpkg
- data_type:
RasterDataset
- driver:
raster_tindex
- paper_doi:
10.1126/science.aat0636
- paper_ref:
Allen and Pavelsky (2018)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.01
gswo
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/gswo/occur.vrt
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1038/nature20584
- paper_ref:
Pekel et al. (2016)
- source_url:
- source_version:
v1_1_2019
rivers_lin2019_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/rivers_lin2019/rivers_ge30m.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.5281/zenodo.3552776
- paper_ref:
Lin et al. (2019)
- source_license:
CC-BY-NC 4.0
- source_url:
- source_version:
1
corine
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/corine/CLC2018_CLC2018_V2018_20.tif
- data_type:
RasterDataset
- driver:
raster
- source_author:
European Environment Agency
- source_license:
https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata
- source_url:
https://land.copernicus.eu/pan-european/corine-land-cover/clc2018
- source_version:
v.2020_20u1
esa_worldcover
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/esa-worldcover/esa-worldcover.vrt
- data_type:
RasterDataset
- driver:
raster
- source_license:
CC BY 4.0
- source_url:
- source_version:
v100
globcover
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1594/PANGAEA.787668
- paper_ref:
Arino et al (2012)
- source_license:
CC-BY-3.0
- source_url:
- source_version:
v2.3
modis_lai
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/modis/MODIS_MCD15A3H_LAI/*.tif
- data_type:
RasterDataset
- driver:
raster
- notes:
this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’
- paper_doi:
10.5067/MODIS/MCD15A3H.006
- paper_ref:
Myneni et al (2015)
- source_license:
- source_url:
- source_version:
MCD15A3H V006
simard
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/simard/sdat_10023_canopy_height_simard.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1029/2011JG001708
- paper_ref:
Simard et al (2011)
- source_url:
vito
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5281/zenodo.3939038
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v2.0.2
vito_2016_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5281/zenodo.3518026
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
vito_2017_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5281/zenodo.3518036
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
vito_2018_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5281/zenodo.3518038
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
vito_2019_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5281/zenodo.3939050
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
glofas_era5_v31
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_{year}.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.5194/essd-12-2043-2020
- paper_ref:
Harrigan et al. (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf
- source_url:
- source_version:
v31
glofas_uparea
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_uparea.tif
- data_type:
RasterDataset
- driver:
raster
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.5194/essd-12-2043-2020
- paper_ref:
Harrigan et al. (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf
- source_url:
- source_version:
v31
chelsa
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/chelsa_clim_v1.2/CHELSA_bio10_12.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1038/sdata.2017.122
- paper_ref:
Karger et al. (2017)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.2
chirps
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/chirps_africa_daily_v2.0/CHIRPS_rainfall_{year}.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1038/sdata.2015.66
- paper_ref:
Funk et al (2015)
- source_license:
CC
- source_url:
- source_version:
v2.0
chirps_global
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/chirps_global_daily_v2.0/chirps-v2.0.{year}.days_p05.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.3133/ds832
- paper_ref:
Funk et al (2014)
- source_license:
CC
- source_url:
- source_version:
v2.0
eobs
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/*/{variable}_ens_mean_0.1deg_reg_v22.0e.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
22.0e
eobs_orography
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v22.0e.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
22.0e
eobs_orography_v20.0e
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v20.0e.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
20.0e
eobs_orography_v23.1e
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v23.1e.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
23.1e
eobs_v23.1e
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/eobs/*/{variable}_ens_mean_0.1deg_reg_v23.1e.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
23.1e
era5
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily/nc_merged/era5_*_daily.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 daily data on pressure levels
era5_daily_zarr
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily.zarr
- data_type:
RasterDataset
- driver:
zarr
- history:
Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 daily data on pressure levels
era5_hourly
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/{variable}/era5_{variable}_{year}_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
era5_hourly_zarr
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5.zarr
- data_type:
RasterDataset
- driver:
zarr
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
era5_orography
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/meta/era5_orography_2018.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
koppen_geiger
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/climate_classification_v2017/Map_KG-Global.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1127/0941-2948/2006/0130
- paper_ref:
Kottek et al. (2006)
- source_url:
- source_version:
2017
worldclim
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/worldclim_v2.0/wc2.0_30s_prec.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1002/joc.5086
- paper_ref:
Fick and Hijmans (2017)
- source_url:
- source_version:
2
era5_ocean
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
gtsm_codec_reanalysis_10min_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_10min_{year}_{month}_v1.nc
- data_type:
GeoDataset
- driver:
netcdf
- paper_doi:
10.3389/fmars.2020.00263
- paper_ref:
Muis at al (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
- source_url:
- source_version:
v1
gtsm_codec_reanalysis_dailymax_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_dailymax_{year}_{month}_v1.nc
- data_type:
GeoDataset
- driver:
netcdf
- paper_doi:
10.3389/fmars.2020.00263
- paper_ref:
Muis at al (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
- source_url:
- source_version:
v1
gtsm_codec_reanalysis_hourly_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_hourly_{year}_{month}_v1.nc
- data_type:
GeoDataset
- driver:
netcdf
- paper_doi:
10.3389/fmars.2020.00263
- paper_ref:
Muis at al (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
- source_url:
- source_version:
v1
gdp_world
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/gdp_world/World_countries_GDPpcPPP.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
Wilfred Altena
- source_info:
data combined from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)
- source_license:
CC BY-4.0
- source_version:
1.0
ghs_pop
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.2760/062975
- paper_ref:
Florczyk et al (2019)
- source_license:
CC BY 4.0
- source_url:
ghs_pop_2015_4326_v2019a
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.2905/0C6B9751-A71F-4062-830B-43C9F432370F
- paper_ref:
Schiavina et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f
- source_version:
R2019A_v1.0
ghs_smod
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218
- paper_ref:
Pesaresi et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218
- source_version:
R2019A_v2.0
ghs_smod_2015_54009_v2016a
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2016A_54009_1k_v1_0.tif
- data_type:
RasterDataset
- driver:
raster
- paper_ref:
Pesaresi and Freire (2016)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a
- source_version:
R2016A_v1.0
glw_buffaloes
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Bf_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/5U8MWI
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_cattle
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Ct_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/GIVQ75
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_chicken
- path:
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wb_countries
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World Bank
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raster
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10.1029/2008JC005179
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fabdem
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CC BY-NC-SA 4.0
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10.5194/hess-2020-582
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grip_roads
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10.1088/1748-9326/aabd42
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grwl
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10.1126/science.aat0636
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Allen and Pavelsky (2018)
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10.3189/2014JoG13J176
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CC BY 4.0
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chelsa
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Karger et al. (2017)
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23.1e
era5
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily/nc_merged/era5_*_daily.nc
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RasterDataset
- driver:
netcdf
- category:
meteo
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Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 daily data on pressure levels
era5_daily_zarr
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5_daily.zarr
- data_type:
RasterDataset
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zarr
- category:
meteo
- history:
Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 daily data on pressure levels
era5_hourly
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/{variable}/era5_{variable}_{year}_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
era5_hourly_zarr
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5.zarr
- data_type:
RasterDataset
- driver:
zarr
- category:
meteo
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
era5_ocean
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
ocean
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
era5_orography
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/era5/meta/era5_orography_2018.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
esa_worldcover
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/esa-worldcover/esa-worldcover.vrt
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RasterDataset
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raster
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landuse
- source_license:
CC BY 4.0
- source_url:
- source_version:
v100
fabdem
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/fabdem/fabdem.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
CC BY-NC-SA 4.0
- paper_ref:
Hawker et al. (2022)
- source_license:
CC BY-NC-SA 4.0
- source_url:
https://data.bris.ac.uk/data/dataset/25wfy0f9ukoge2gs7a5mqpq2j7
- source_version:
1.0
gadm
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/gadm/gadm36_levels.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
3.6
gcn250
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/gcn250/GCN250_*.tif
- data_type:
RasterDataset
- driver:
raster
- category:
soil
- paper_doi:
10.1038/s41597-019-0155-x
- paper_ref:
Jaafar et al. (2019)
- source_license:
CC BY 4.0
- source_url:
- source_version:
v1
gdp_world
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/gdp_world/World_countries_GDPpcPPP.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
socio-economic
- source_author:
Wilfred Altena
- source_info:
data combined from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)
- source_license:
CC BY-4.0
- source_version:
1.0
gebco
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/bathymetry/gebco/gebco.vrt
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RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.5285/a29c5465-b138-234d-e053-6c86abc040b9
- paper_ref:
Weatherall et al (2020)
- source_license:
https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1
- source_url:
https://www.bodc.ac.uk/data/open_download/gebco/gebco_2020/geotiff/
- source_version:
2020
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m+MSL
ghs_pop
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.2760/062975
- paper_ref:
Florczyk et al (2019)
- source_license:
CC BY 4.0
- source_url:
ghs_pop_2015_4326_v2019a
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.2905/0C6B9751-A71F-4062-830B-43C9F432370F
- paper_ref:
Schiavina et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f
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R2019A_v1.0
ghs_smod
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/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif
- data_type:
RasterDataset
- driver:
raster
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socio-economic
- paper_doi:
10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218
- paper_ref:
Pesaresi et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218
- source_version:
R2019A_v2.0
ghs_smod_2015_54009_v2016a
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2016A_54009_1k_v1_0.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_ref:
Pesaresi and Freire (2016)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a
- source_version:
R2016A_v1.0
globcover
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- paper_doi:
10.1594/PANGAEA.787668
- paper_ref:
Arino et al (2012)
- source_license:
CC-BY-3.0
- source_url:
- source_version:
v2.3
glofas_era5_v31
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_{year}.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
hydro
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.5194/essd-12-2043-2020
- paper_ref:
Harrigan et al. (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf
- source_url:
- source_version:
v31
glofas_uparea
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_uparea.tif
- data_type:
RasterDataset
- driver:
raster
- category:
hydro
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.5194/essd-12-2043-2020
- paper_ref:
Harrigan et al. (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf
- source_url:
- source_version:
v31
glw_buffaloes
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Bf_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/5U8MWI
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_cattle
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Ct_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/GIVQ75
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_chicken
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Ch_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/SUFASB
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_ducks
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Dk_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/ICHCBH
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_goats
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Gt_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/OCPH42
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_horses
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Ho_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/7Q52MV
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_pigs
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Pg_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/33N0JG
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_sheeps
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/glw/5_Sh_2010_Da.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.7910/DVN/BLWPZN
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
grdc
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydro/grdc/GRDC_Stations.xlsx
- data_type:
GeoDataFrame
- driver:
xlsx
- category:
observed data
- source_info:
GRDC-Station Catalogue, last downloaded 2020-07-16
- source_license:
- source_url:
grip_roads
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/infrastructure/grip/GRIP4_world.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
road
- source_url:
- paper_ref:
Meijer et al, 2018
- paper_doi:
10.1088/1748-9326/aabd42
- source_license:
CC0-1.0
- source_version:
v4
grwl
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/grwl/GRWL_vector_V01.01/grwl.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- paper_doi:
10.1126/science.aat0636
- paper_ref:
Allen and Pavelsky (2018)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.01
grwl_mask
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/grwl/tindex.gpkg
- data_type:
RasterDataset
- driver:
raster_tindex
- category:
hydrography
- paper_doi:
10.1126/science.aat0636
- paper_ref:
Allen and Pavelsky (2018)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.01
gswo
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/gswo/occur.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
hydrography
- paper_doi:
10.1038/nature20584
- paper_ref:
Pekel et al. (2016)
- source_url:
- source_version:
v1_1_2019
gtsm_codec_reanalysis_10min_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_10min_{year}_{month}_v1.nc
- data_type:
GeoDataset
- driver:
netcdf
- category:
ocean
- paper_doi:
10.3389/fmars.2020.00263
- paper_ref:
Muis at al (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
- source_url:
- source_version:
v1
gtsm_codec_reanalysis_dailymax_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_dailymax_{year}_{month}_v1.nc
- data_type:
GeoDataset
- driver:
netcdf
- category:
ocean
- paper_doi:
10.3389/fmars.2020.00263
- paper_ref:
Muis at al (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
- source_url:
- source_version:
v1
gtsm_codec_reanalysis_hourly_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_hourly_{year}_{month}_v1.nc
- data_type:
GeoDataset
- driver:
netcdf
- category:
ocean
- paper_doi:
10.3389/fmars.2020.00263
- paper_ref:
Muis at al (2020)
- source_license:
https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf
- source_url:
- source_version:
v1
guf_bld_2012
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/infrastructure/guf/GUF04_DLR_v02.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.1016/j.isprsjprs.2017.10.012
- paper_ref:
Esch et al (2017)
- source_license:
- source_url:
hydro_lakes
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/lakes/lake-db.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- source_author:
Arjen Haag
- source_info:
HydroLAKES.v10_extract
- source_version:
1.0
hydro_reservoirs
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/reservoirs/reservoir-db.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- source_author:
Alessia Matano
- source_info:
GRanD.v1.1_HydroLAKES.v10_JRC.2016
- source_version:
1.0
koppen_geiger
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/climate_classification_v2017/Map_KG-Global.tif
- data_type:
RasterDataset
- driver:
raster
- category:
meteo
- paper_doi:
10.1127/0941-2948/2006/0130
- paper_ref:
Kottek et al. (2006)
- source_url:
- source_version:
2017
mdt_cnes_cls18
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/mdt_cnes_cls18/MDT_CNES_CLS18_global_filled.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.5194/os-17-789-2021
- paper_ref:
Mulet et al (2021)
- source_url:
https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html
- source_version:
18
- unit:
m+GOCO05S
merit
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit/merit.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
topography
- paper_doi:
10.1002/2017GL072874
- paper_ref:
Yamazaki et al. (2018)
- source_license:
CC-BY-NC 4.0 or ODbL 1.0
- source_url:
- source_version:
1.0.3
merit_hydro
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro/*.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.1029/2019WR024873
- paper_ref:
Yamazaki et al. (2019)
- source_license:
CC-BY-NC 4.0 or ODbL 1.0
- source_url:
- source_version:
1.0
merit_hydro_ihu
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro_ihu/30sec/*.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.5281/zenodo.5166932
- paper_ref:
Eilander et al. (2020)
- source_license:
ODC-By 1.0
- source_url:
- source_version:
1.0
merit_hydro_index
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro/basin_index.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
topography
- paper_doi:
10.5194/hess-2020-582
- paper_ref:
Eilander et al. (in review)
- source_license:
CC-BY-NC 4.0
merit_hydro_patch
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/topography/merit_hydro/patches/*.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.1029/2019WR024873
- paper_ref:
Yamazaki et al. (2019)
- source_license:
CC-BY-NC 4.0 or ODbL 1.0
- source_url:
- source_version:
1.0 Deltares patch
modis_lai
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/modis/MODIS_MCD15A3H_LAI/*.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- notes:
this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’
- paper_doi:
10.5067/MODIS/MCD15A3H.006
- paper_ref:
Myneni et al (2015)
- source_license:
- source_url:
- source_version:
MCD15A3H V006
osm_coastlines
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_coastlines-db.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
osm_landareas
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/osm/osm_landareas-db.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
rgi
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/rgi/rgi.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- paper_doi:
10.3189/2014JoG13J176
- paper_ref:
Pfeffer et al. (2014)
- source_info:
Randolph Glacier Inventory
- source_license:
CC BY 4.0
- source_url:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview
- source_version:
6.0
rivers_lin2019_v1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/hydrography/rivers_lin2019/rivers_ge30m.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
hydrography
- paper_doi:
10.5281/zenodo.3552776
- paper_ref:
Lin et al. (2019)
- source_license:
CC-BY-NC 4.0
- source_url:
- source_version:
1
simard
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/simard/sdat_10023_canopy_height_simard.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- paper_doi:
10.1029/2011JG001708
- paper_ref:
Simard et al (2011)
- source_url:
soilgrids
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/soil/soilgrids_v1.0/*_250m_ll.tif
- data_type:
RasterDataset
- driver:
raster
- category:
soil
- notes:
soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.
- paper_doi:
10.1371/journal.pone.0169748
- paper_ref:
Hengl et al. (2017)
- source_license:
ODbL
- source_url:
- source_version:
2017
soilgrids_2020
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/soil/soilgrids_v2.0/*/*_mean.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
soil
- notes:
soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.
- paper_doi:
- paper_ref:
de Sousa et al. (2020)
- source_license:
CC BY 4.0
- source_url:
- source_version:
2020
vito
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- paper_doi:
10.5281/zenodo.3939038
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v2.0.2
vito_2016_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- paper_doi:
10.5281/zenodo.3518026
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
vito_2017_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- paper_doi:
10.5281/zenodo.3518036
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
vito_2018_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- paper_doi:
10.5281/zenodo.3518038
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
vito_2019_v3.0.1
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- paper_doi:
10.5281/zenodo.3939050
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v3.0.1
wb_countries
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/geography/wb/WB_countries_Admin0.geojson
- data_type:
GeoDataFrame
- driver:
vector
- category:
socio-economic
- source_url:
https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries
- source_license:
CC-BY 4.0
- author:
World Bank
- timestamp:
February 2020
worldclim
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/meteo/worldclim_v2.0/wc2.0_30s_prec.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- paper_doi:
10.1002/joc.5086
- paper_ref:
Fick and Hijmans (2017)
- source_url:
- source_version:
2
worldpop_2020_UNadj_constrained
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/worldpop/ppp_2020_UNadj_constrained.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.1371/journal.pone.0107042
- paper_ref:
Stevens et al. (2015)
- source_license:
CC BY 4.0
- source_url:
worldpop_2020_constrained
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/socio_economic/worldpop/ppp_2020_constrained.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.1371/journal.pone.0107042
- paper_ref:
Stevens et al. (2015)
- source_license:
CC BY 4.0
- source_url:
wsf_bld_2015
- path:
/home/runner/work/hydromt/hydromt/docs/p:/wflow_global/hydromt/infrastructure/wsf/WSF2015_v1_EPSG4326.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
socio-economic
- paper_doi:
10.1038/s41597-020-00580-5
- paper_ref:
Marconcini at al (2020)
- source_license:
CC0 1.0
- source_url:
https://un-spider.org/links-and-resources/data-sources/world-settlement-footprint-2015-wsf-dlr-eoc
artifact_data
This data archive contains a sample dataset for the Piave basin (North Italy) to be used for tests and docs/demo purposes.
gadm_level1
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level1.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
1.0
gadm_level2
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level2.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
1.0
gadm_level3
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level3.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
1.0
osm_coastlines
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_coastlines.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
osm_landareas
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_landareas.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
rivers_lin2019_v1
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/rivers_lin2019_v1.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.5281/zenodo.3552776
- paper_ref:
Lin et al. (2019)
- source_license:
CC-BY-NC 4.0
- source_url:
- source_version:
1
chelsa
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/chelsa.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1038/sdata.2017.122
- paper_ref:
Karger et al. (2017)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.2
chirps_global
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/chirps_global.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.3133/ds832
- paper_ref:
Funk et al (2014)
- source_license:
CC
- source_url:
- source_version:
v2.0
eobs
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
22.0e
eobs_orography
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs_orography.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
22.0e
era5
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/era5.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 daily data on pressure levels
era5_hourly
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
era5_orography
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_orography.nc
- data_type:
RasterDataset
- driver:
netcdf
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
koppen_geiger
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/koppen_geiger.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1127/0941-2948/2006/0130
- paper_ref:
Kottek et al. (2006)
- source_url:
- source_version:
2017
worldclim
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/worldclim.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1002/joc.5086
- paper_ref:
Fick and Hijmans (2017)
- source_url:
- source_version:
2
gtsmv3_eu_era5
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gtsmv3_eu_era5.nc
- data_type:
GeoDataset
- driver:
netcdf
- paper_doi:
10.24381/cds.8c59054f
- paper_ref:
Copernicus Climate Change Service 2019
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.8c59054f?tab=overview
- source_version:
GTSM v3.0
wb_countries
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/wb_countries.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- author:
World Bank
- source_license:
CC-BY 4.0
- source_url:
https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries
- timestamp:
February 2020
dtu10mdt
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1029/2008JC005179
- paper_ref:
Andersen and Knudsen (2009)
- source_url:
https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography
- source_version:
2010
- unit:
m+EGM2008
dtu10mdt_egm96
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt_egm96.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1029/2008JC005179
- paper_ref:
Andersen and Knudsen (2009)
- source_url:
https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography
- source_version:
2010
- unit:
m+EGM96
gebco
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gebco.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5285/a29c5465-b138-234d-e053-6c86abc040b9
- paper_ref:
Weatherall et al (2020)
- source_license:
https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1
- source_url:
https://www.bodc.ac.uk/data/open_download/gebco/gebco_2020/geotiff/
- source_version:
2020
- unit:
m+MSL
mdt_cnes_cls18
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/mdt_cnes_cls18.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5194/os-17-789-2021
- paper_ref:
Mulet et al (2021)
- source_url:
https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html
- source_version:
18
- unit:
m+GOCO05S
merit_hydro
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1029/2019WR024873
- paper_ref:
Yamazaki et al. (2019)
- source_license:
CC-BY-NC 4.0 or ODbL 1.0
- source_url:
- source_version:
1.0
merit_hydro_1k
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_1k/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5194/hess-2020-582
- paper_ref:
Eilander et al. (in review)
- source_license:
CC-BY-NC 4.0
- source_url:
- source_version:
0.1
merit_hydro_index
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_index.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.5194/hess-2020-582
- paper_ref:
Eilander et al. (in review)
- source_license:
CC-BY-NC 4.0
corine
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/corine.tif
- data_type:
RasterDataset
- driver:
raster
- source_author:
European Environment Agency
- source_license:
https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata
- source_url:
https://land.copernicus.eu/pan-european/corine-land-cover/clc2018
- source_version:
v.2020_20u1
gcn250
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gcn250/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1038/s41597-019-0155-x
- paper_ref:
Jaafar et al. (2019)
- source_license:
CC BY 4.0
- source_url:
- source_version:
v1
gdp_world
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gdp_world.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
Wilfred Altena
- source_info:
data combined from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)
- source_license:
CC BY-4.0
- source_version:
1.0
ghs-smod_2015_v2
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs-smod_2015_v2.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218
- paper_ref:
Pesaresi et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218
- source_version:
R2019A_v2.0
ghs_pop_2015
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.2905/0C6B9751-A71F-4062-830B-43C9F432370F
- paper_ref:
Schiavina et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f
- source_version:
R2019A_v1.0
ghs_pop_2015_54009
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015_54009.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.2760/062975
- paper_ref:
Florczyk et al (2019)
- source_license:
CC BY 4.0
- source_url:
ghs_smod_2015
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_smod_2015.tif
- data_type:
RasterDataset
- driver:
raster
- paper_ref:
Pesaresi and Freire (2016)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a
- source_version:
R2016A_v1.0
globcover
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/globcover.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1594/PANGAEA.787668
- paper_ref:
Arino et al (2012)
- source_license:
CC-BY-3.0
- source_url:
glw_buffaloes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_buffaloes.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/5U8MWI
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_cattle
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_cattle.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/GIVQ75
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_chicken
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_chicken.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/SUFASB
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_ducks
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_ducks.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/ICHCBH
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_goats
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_goats.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/OCPH42
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_horses
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_horses.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/7Q52MV
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_pigs
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_pigs.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/33N0JG
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_sheep
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_sheep.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.7910/DVN/BLWPZN
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
grdc
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grdc.csv
- data_type:
GeoDataFrame
- driver:
csv
- source_info:
GRDC-Station Catalogue, last downloaded 2020-07-16
- source_license:
- source_url:
grip_roads
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grip_roads.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.1088/1748-9326/aabd42
- paper_ref:
Meijer et al, 2018
- source_license:
CC0-1.0
- source_url:
- source_version:
v4
grwl
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.1126/science.aat0636
- paper_ref:
Allen and Pavelsky (2018)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.01
grwl_mask
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl_tindex.gpkg
- data_type:
RasterDataset
- driver:
raster_tindex
- paper_doi:
10.1126/science.aat0636
- paper_ref:
Allen and Pavelsky (2018)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.01
gswo
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gswo.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1038/nature20584
- paper_ref:
Pekel et al. (2016)
- source_url:
- source_version:
v1_1_2019
guf_bld_2012
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/guf_bld_2012.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1016/j.isprsjprs.2017.10.012
- paper_ref:
Esch et al (2017)
- source_license:
- source_url:
hydro_lakes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_lakes.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
Arjen Haag
- source_info:
HydroLAKES.v10_extract
- source_version:
1.0
hydro_reservoirs
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_reservoirs.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
Alessia Matano
- source_info:
GRanD.v1.1_HydroLAKES.v10_JRC.2016
- source_version:
1.0
modis_lai
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/modis_lai.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’
- paper_doi:
10.5067/MODIS/MCD15A3H.006
- paper_ref:
Myneni et al (2015)
- source_license:
- source_url:
- source_version:
MCD15A3H V006
rgi
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/rgi.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.3189/2014JoG13J176
- paper_ref:
Pfeffer et al. (2014)
- source_info:
Randolph Glacier Inventory
- source_license:
CC BY 4.0
- source_url:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview
- source_version:
6.0
simard
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/simard.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1029/2011JG001708
- paper_ref:
Simard et al (2011)
- source_url:
soilgrids
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/soilgrids/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- notes:
soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.
- paper_doi:
10.1371/journal.pone.0169748
- paper_ref:
Hengl et al. (2017)
- source_license:
ODbL
- source_url:
- source_version:
2017
vito
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/vito.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5281/zenodo.3939038
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v2.0.2
chelsa
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/chelsa.tif
- data_type:
RasterDataset
- driver:
raster
- category:
meteo
- paper_doi:
10.1038/sdata.2017.122
- paper_ref:
Karger et al. (2017)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.2
chirps_global
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/chirps_global.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- paper_doi:
10.3133/ds832
- paper_ref:
Funk et al (2014)
- source_license:
CC
- source_url:
- source_version:
v2.0
corine
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/corine.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse & landcover
- source_author:
European Environment Agency
- source_license:
https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata
- source_url:
https://land.copernicus.eu/pan-european/corine-land-cover/clc2018
- source_version:
v.2020_20u1
dtu10mdt
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.1029/2008JC005179
- paper_ref:
Andersen and Knudsen (2009)
- source_url:
https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography
- source_version:
2010
- unit:
m+EGM2008
dtu10mdt_egm96
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/dtu10mdt_egm96.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.1029/2008JC005179
- paper_ref:
Andersen and Knudsen (2009)
- source_url:
https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography
- source_version:
2010
- unit:
m+EGM96
eobs
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
22.0e
eobs_orography
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/eobs_orography.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- paper_doi:
10.1029/2017JD028200
- paper_ref:
Cornes et al (2018)
- source_license:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_url:
https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles
- source_version:
22.0e
era5
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/era5.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- history:
Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 daily data on pressure levels
era5_hourly
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
era5_orography
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/era5_orography.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- history:
Extracted from Copernicus Climate Data Store
- paper_doi:
10.1002/qj.3803
- paper_ref:
Hersbach et al. (2019)
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
- source_version:
ERA5 hourly data on pressure levels
gadm_level1
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level1.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
1.0
gadm_level2
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level2.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
1.0
gadm_level3
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gadm_level3.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2020-10-19; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
1.0
gcn250
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gcn250/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- category:
soil
- paper_doi:
10.1038/s41597-019-0155-x
- paper_ref:
Jaafar et al. (2019)
- source_license:
CC BY 4.0
- source_url:
- source_version:
v1
gdp_world
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gdp_world.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
socio economic
- source_author:
Wilfred Altena
- source_info:
data combined from World Bank (https://data.worldbank.org/indicator/NY.GDP.MKTP.CD) and CIA World Factbook (https://www.cia.gov/the-world-factbook/field/real-gdp-per-capita/country-comparison)
- source_license:
CC BY-4.0
- source_version:
1.0
gebco
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gebco.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.5285/a29c5465-b138-234d-e053-6c86abc040b9
- paper_ref:
Weatherall et al (2020)
- source_license:
https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1
- source_url:
https://www.bodc.ac.uk/data/open_download/gebco/gebco_2020/geotiff/
- source_version:
2020
- unit:
m+MSL
ghs-smod_2015_v2
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs-smod_2015_v2.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218
- paper_ref:
Pesaresi et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218
- source_version:
R2019A_v2.0
ghs_pop_2015
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.2905/0C6B9751-A71F-4062-830B-43C9F432370F
- paper_ref:
Schiavina et al (2019)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f
- source_version:
R2019A_v1.0
ghs_pop_2015_54009
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_pop_2015_54009.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.2760/062975
- paper_ref:
Florczyk et al (2019)
- source_license:
CC BY 4.0
- source_url:
ghs_smod_2015
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/ghs_smod_2015.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_ref:
Pesaresi and Freire (2016)
- source_author:
JRC-ISPRA EC
- source_license:
- source_url:
https://data.jrc.ec.europa.eu/dataset/jrc-ghsl-ghs_smod_pop_globe_r2016a
- source_version:
R2016A_v1.0
globcover
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/globcover.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse & landcover
- paper_doi:
10.1594/PANGAEA.787668
- paper_ref:
Arino et al (2012)
- source_license:
CC-BY-3.0
- source_url:
glw_buffaloes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_buffaloes.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/5U8MWI
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_cattle
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_cattle.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/GIVQ75
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_chicken
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_chicken.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/SUFASB
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_ducks
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_ducks.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/ICHCBH
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_goats
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_goats.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/OCPH42
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_horses
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_horses.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/7Q52MV
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_pigs
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_pigs.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/33N0JG
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
glw_sheep
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/glw_sheep.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.7910/DVN/BLWPZN
- paper_ref:
Gilbert at al (2018)
- source_author:
glw (Gridded Livestock of World 3 Dataverse)
- source_license:
CC 4.0
- source_url:
- source_version:
GLW 3, last downloaded 2020-06-11
grdc
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grdc.csv
- data_type:
GeoDataFrame
- driver:
csv
- category:
observed data
- source_info:
GRDC-Station Catalogue, last downloaded 2020-07-16
- source_license:
- source_url:
grip_roads
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grip_roads.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
road
- paper_doi:
10.1088/1748-9326/aabd42
- paper_ref:
Meijer et al, 2018
- source_license:
CC0-1.0
- source_url:
- source_version:
v4
grwl
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- paper_doi:
10.1126/science.aat0636
- paper_ref:
Allen and Pavelsky (2018)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.01
grwl_mask
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/grwl_tindex.gpkg
- data_type:
RasterDataset
- driver:
raster_tindex
- paper_doi:
10.1126/science.aat0636
- paper_ref:
Allen and Pavelsky (2018)
- source_license:
CC BY 4.0
- source_url:
- source_version:
1.01
gswo
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gswo.tif
- data_type:
RasterDataset
- driver:
raster
- category:
surface water
- paper_doi:
10.1038/nature20584
- paper_ref:
Pekel et al. (2016)
- source_url:
- source_version:
v1_1_2019
gtsmv3_eu_era5
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/gtsmv3_eu_era5.nc
- data_type:
GeoDataset
- driver:
netcdf
- category:
ocean
- paper_doi:
10.24381/cds.8c59054f
- paper_ref:
Copernicus Climate Change Service 2019
- source_license:
https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products
- source_url:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.8c59054f?tab=overview
- source_version:
GTSM v3.0
guf_bld_2012
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/guf_bld_2012.tif
- data_type:
RasterDataset
- driver:
raster
- category:
socio economic
- paper_doi:
10.1016/j.isprsjprs.2017.10.012
- paper_ref:
Esch et al (2017)
- source_license:
- source_url:
hydro_lakes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_lakes.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- source_author:
Arjen Haag
- source_info:
HydroLAKES.v10_extract
- source_version:
1.0
hydro_reservoirs
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/hydro_reservoirs.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- source_author:
Alessia Matano
- source_info:
GRanD.v1.1_HydroLAKES.v10_JRC.2016
- source_version:
1.0
koppen_geiger
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/koppen_geiger.tif
- data_type:
RasterDataset
- driver:
raster
- category:
meteo
- paper_doi:
10.1127/0941-2948/2006/0130
- paper_ref:
Kottek et al. (2006)
- source_url:
- source_version:
2017
mdt_cnes_cls18
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/mdt_cnes_cls18.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.5194/os-17-789-2021
- paper_ref:
Mulet et al (2021)
- source_url:
https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html
- source_version:
18
- unit:
m+GOCO05S
merit_hydro
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.1029/2019WR024873
- paper_ref:
Yamazaki et al. (2019)
- source_license:
CC-BY-NC 4.0 or ODbL 1.0
- source_url:
- source_version:
1.0
merit_hydro_1k
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_1k/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.5194/hess-2020-582
- paper_ref:
Eilander et al. (in review)
- source_license:
CC-BY-NC 4.0
- source_url:
- source_version:
0.1
merit_hydro_index
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/merit_hydro_index.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
topography
- paper_doi:
10.5194/hess-2020-582
- paper_ref:
Eilander et al. (in review)
- source_license:
CC-BY-NC 4.0
modis_lai
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/modis_lai.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
landuse & landcover
- notes:
this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’
- paper_doi:
10.5067/MODIS/MCD15A3H.006
- paper_ref:
Myneni et al (2015)
- source_license:
- source_url:
- source_version:
MCD15A3H V006
osm_coastlines
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_coastlines.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
osm_landareas
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/osm_landareas.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- source_author:
OpenStreetMap
- source_info:
OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29
- source_license:
ODbL
- source_url:
- source_version:
1.0
rgi
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/rgi.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- paper_doi:
10.3189/2014JoG13J176
- paper_ref:
Pfeffer et al. (2014)
- source_info:
Randolph Glacier Inventory
- source_license:
CC BY 4.0
- source_url:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview
- source_version:
6.0
rivers_lin2019_v1
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/rivers_lin2019_v1.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
hydrography
- paper_doi:
10.5281/zenodo.3552776
- paper_ref:
Lin et al. (2019)
- source_license:
CC-BY-NC 4.0
- source_url:
- source_version:
1
simard
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/simard.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse & landcover
- paper_doi:
10.1029/2011JG001708
- paper_ref:
Simard et al (2011)
- source_url:
soilgrids
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/soilgrids/{variable}.tif
- data_type:
RasterDataset
- driver:
raster
- category:
soil
- notes:
soilthickness is based on 1) soilgrids (global) and 2) dataset for Eurasia (ESDAC, 2004; Panagos et al., 2012): ESDAC, 2004. The european soil database distribution version 2.0, european commission and the European soil bureau network. esdac.jrc.ec.europa.eu, accessed: 2017-11-17. Panagos, P., Van Liedekerke, M., Jones, A., Montanarella, L., 2012. European soil data centre: Response to european policy support and public data requirements. Land Use Policy 29 (2), 329–338.
- paper_doi:
10.1371/journal.pone.0169748
- paper_ref:
Hengl et al. (2017)
- source_license:
ODbL
- source_url:
- source_version:
2017
vito
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/vito.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse & landcover
- paper_doi:
10.5281/zenodo.3939038
- paper_ref:
Buchhorn et al (2020)
- source_url:
- source_version:
v2.0.2
wb_countries
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/wb_countries.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- author:
World Bank
- category:
socio-economic
- source_license:
CC-BY 4.0
- source_url:
https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries
- timestamp:
February 2020
worldclim
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.6/worldclim.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- paper_doi:
10.1002/joc.5086
- paper_ref:
Fick and Hijmans (2017)
- source_url:
- source_version:
2