artifact_data
gadm_level1
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://chelsa-climate.org/downloads/
- source_version:
1.2
chirps_global
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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_daily_zarr
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/era5_daily_zarr.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/.hydromt_data/artifact_data/v0.0.9/data.tar/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_hourly_zarr
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/era5_hourly_zarr.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/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/koppen_geiger.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1127/0941-2948/2006/0130
- paper_ref:
Kottek et al. (2006)
- source_url:
p://koeppen-geiger.vu-wien.ac.at/present.htm
- source_version:
2017
worldclim
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro
- source_version:
1.0
merit_hydro_1k
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://due.esrin.esa.int/page_globcover.php
glw_buffaloes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://www.dlr.de/guf
hydro_lakes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://chelsa-climate.org/downloads/
- source_version:
1.2
chirps_global
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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_daily_zarr
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/era5_daily_zarr.zarr
- data_type:
RasterDataset
- driver:
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/.hydromt_data/artifact_data/v0.0.9/data.tar/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_hourly_zarr
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/era5_hourly_zarr.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_orography
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://due.esrin.esa.int/page_globcover.php
glw_buffaloes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://www.dlr.de/guf
hydro_lakes
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://koeppen-geiger.vu-wien.ac.at/present.htm
- source_version:
2017
mdt_cnes_cls18
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro
- source_version:
1.0
merit_hydro_1k
- path:
/home/runner/.hydromt_data/artifact_data/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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/v0.0.9/data.tar/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
deltares_data
gadm
- path:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level0.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_0.sh
gadm_level1
- path:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level1.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_1.sh
gadm_level2
- path:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level2.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_2.sh
gadm_level3
- path:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level3.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_3.sh
osm_coastlines
- path:
p:/wflow_global/hydromt/geography/osm/osm_coastlines-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29
- source_author:
OpenStreetMap
- source_license:
ODbL
- source_url:
- source_version:
1.0
osm_landareas
- path:
p:/wflow_global/hydromt/geography/osm/osm_landareas-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29
- source_author:
OpenStreetMap
- source_license:
ODbL
- source_url:
- source_version:
1.0
basin_atlas_level12_v10
- path:
p:/wflow_global/hydromt/hydrography/hydro_atlas/basin_atlas_v10.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- notes:
renaming and units might require some revision
- paper_doi:
10.1038/s41597-019-0300-6
- paper_ref:
Linke et al. (2019)
- source_license:
CC BY 4.0
- source_url:
- source_version:
10
grwl_mask
- path:
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:
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
lake_atlas_pol_v10
- path:
p:/wflow_global/hydromt/hydrography/hydro_atlas/lake_atlas_v10.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- notes:
renaming and units might require some revision
- paper_doi:
10.1038/s41597-022-01425-z
- paper_ref:
Lehner et al. (2022)
- source_license:
CC BY 4.0
- source_url:
- source_version:
10
river_atlas_v10
- path:
p:/wflow_global/hydromt/hydrography/hydro_atlas/river_atlas_v10.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- notes:
renaming and units might require some revision
- paper_doi:
10.1038/s41597-019-0300-6
- paper_ref:
Linke et al. (2019)
- source_license:
CC BY 4.0
- source_url:
- source_version:
10
rivers_lin2019_v1
- path:
p:/wflow_global/hydromt/hydrography/rivers_lin2019/rivers_ge30m.fgb
- 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:
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:
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:
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:
p://due.esrin.esa.int/page_globcover.php
- source_version:
v2.3
modis_lai
- path:
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:
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:
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:
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:
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:
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:
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:
p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_{year}.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
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:
p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_uparea.tif
- data_type:
RasterDataset
- driver:
raster
- notes:
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
SM2RAIN_ASCAT_monthly_025_v1.4
- path:
p:/wflow_global/hydromt/meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_025_2007_2020.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
crs guessed as it is neither mentioned in the data nor in the literature, 0.25-degree resolution
- paper_doi:
10.5194/essd-11-1583-2019
- paper_ref:
Brocca et al. (2019)
- source_license:
- source_url:
SM2RAIN_ASCAT_monthly_05_v1.4
- path:
p:/wflow_global/hydromt/meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_05_2007_2020.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
crs guessed as it is neither mentioned in the data nor in the literature, 0.5-degree resolution
- paper_doi:
10.5194/essd-11-1583-2019
- paper_ref:
Brocca et al. (2019)
- source_license:
- source_url:
chelsa
- path:
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:
p://chelsa-climate.org/downloads/
- source_version:
1.2
chirps
- path:
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:
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:
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:
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:
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:
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_orography_v24.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v24.0e.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:
24.0e
eobs_orography_v25.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v25.0e.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:
25.0e
eobs_orography_v29.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v29.0e.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:
29.0e
eobs_v23.1e
- path:
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
eobs_v24.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v24.0e.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:
24.0e
eobs_v25.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v25.0e.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:
25.0e
eobs_v29.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.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:
29.0e
era5
- path:
p:/wflow_global/hydromt/meteo/era5_daily/nc_merged/era5_{year}\*_daily.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
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:
p:/wflow_global/hydromt/meteo/era5_daily.zarr
- data_type:
RasterDataset
- driver:
zarr
- notes:
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:
p:/wflow_global/hydromt/meteo/era5/{variable}/era5_{variable}_{year}\*_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
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 single levels from 1940 to present
era5_hourly_zarr
- path:
p:/wflow_global/hydromt/meteo/era5.zarr
- data_type:
RasterDataset
- driver:
zarr
- notes:
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 single levels from 1940 to present
era5_orography
- path:
p:/wflow_global/hydromt/meteo/era5/meta/era5_orography_2018.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
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:
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:
p://koeppen-geiger.vu-wien.ac.at/present.htm
- source_version:
2017
worldclim
- path:
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
- nodata:
-999.0
era5_ocean
- path:
p:/wflow_global/hydromt/ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- notes:
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:
p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_10min_{year}_{month:02d}_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:
p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_dailymax_{year}_{month:02d}_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:
p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_hourly_{year}_{month:02d}_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:
p:/wflow_global/hydromt/socio_economic/gdp_world/World_countries_GDPpcPPP.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
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_author:
Wilfred Altena
- source_license:
CC BY-4.0
- source_version:
1.0
ghs_pop
- path:
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:
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:
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:
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:
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:
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:
p:/wflow_global/hydromt/socio_economic/glw/5_Ch_2010_Da.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:
p:/wflow_global/hydromt/socio_economic/glw/5_Dk_2010_Da.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:
p:/wflow_global/hydromt/socio_economic/glw/5_Gt_2010_Da.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:
p:/wflow_global/hydromt/socio_economic/glw/5_Ho_2010_Da.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:
p:/wflow_global/hydromt/socio_economic/glw/5_Pg_2010_Da.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_sheeps
- path:
p:/wflow_global/hydromt/socio_economic/glw/5_Sh_2010_Da.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
guf_bld_2012
- path:
p:/wflow_global/hydromt/infrastructure/guf/GUF04_DLR_v02.vrt
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.1016/j.isprsjprs.2017.10.012
- paper_ref:
Esch et al (2017)
- source_license:
- source_url:
p://www.dlr.de/guf
wb_countries
- path:
p:/wflow_global/hydromt/geography/wb/WB_countries_Admin0.fgb
- data_type:
GeoDataFrame
- driver:
vector
- source_author:
World Bank
- source_url:
https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries
- source_license:
CC-BY 4.0
- timestamp:
February 2020
worldpop_2020_UNadj_constrained
- path:
p:/wflow_global/hydromt/socio_economic/worldpop/ppp_2020_UNadj_constrained.vrt
- data_type:
RasterDataset
- driver:
raster
- 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:
p:/wflow_global/hydromt/socio_economic/worldpop/ppp_2020_constrained.vrt
- data_type:
RasterDataset
- driver:
raster
- 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:
p:/wflow_global/hydromt/infrastructure/wsf/WSF2015_v1_EPSG4326.vrt
- data_type:
RasterDataset
- driver:
raster
- 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
copdem30
- path:
p:/wflow_global/hydromt/topography/copdem/copdem.vrt
- data_type:
RasterDataset
- driver:
raster
- source_license:
- source_url:
https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4
- source_version:
2021_1
copdem30_mask
- path:
p:/wflow_global/hydromt/topography/copdem/copdem_mask.vrt
- data_type:
RasterDataset
- driver:
raster
- source_license:
- source_url:
https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4
- source_version:
2021_1
copdem30_masked
- path:
p:/wflow_global/hydromt/topography/copdem/copdem_masked.vrt
- data_type:
RasterDataset
- driver:
raster
- source_license:
- source_url:
https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4
- source_version:
2021_1
dtu10mdt
- path:
p:/wflow_global/hydromt/topography/dtu10mdt/DTU10MDT_1min_float32.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:
p:/wflow_global/hydromt/topography/dtu10mdt/DTU10MDT_1min_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
fabdem
- path:
p:/wflow_global/hydromt/topography/fabdem/fabdem.vrt
- data_type:
RasterDataset
- driver:
raster
- 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
gebco
- path:
p:/wflow_global/hydromt/bathymetry/gebco/gebco.vrt
- 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:
p:/wflow_global/hydromt/topography/mdt_cnes_cls18/MDT_CNES_CLS18_global_filled.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
- path:
p:/wflow_global/hydromt/topography/merit/merit.nc
- data_type:
RasterDataset
- driver:
netcdf
- paper_doi:
10.1002/2017GL072874
- paper_ref:
Yamazaki et al. (2018)
- source_license:
CC-BY-NC 4.0 or ODbL 1.0
- source_url:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/
- source_version:
1.0.3
merit_hydro
- path:
p:/wflow_global/hydromt/topography/merit_hydro/\*.vrt
- 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:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro
- source_version:
1.0
merit_hydro_ihu
- path:
p:/wflow_global/hydromt/topography/merit_hydro_ihu/30sec/\*.tif
- data_type:
RasterDataset
- driver:
raster
- paper_doi:
10.5194/hess-2020-582
- paper_ref:
Eilander et al. (2021)
- source_license:
ODC-By 1.0
- source_url:
- source_doi:
10.5281/zenodo.5166932
- source_version:
1.0
merit_hydro_ihu_index
- path:
p:/wflow_global/hydromt/topography/merit_hydro_ihu/30sec/basins.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.5194/hess-25-5287-2021
- paper_ref:
Eilander et al. (2021)
- source_license:
CC-BY-NC 4.0
- source_url:
merit_hydro_index
- path:
p:/wflow_global/hydromt/topography/merit_hydro/basin_index.fgb
- data_type:
GeoDataFrame
- driver:
vector
- paper_doi:
10.5194/hess-25-5287-2021
- paper_ref:
Eilander et al. (2021)
- source_license:
CC-BY-NC 4.0
merit_hydro_patch
- path:
p:/wflow_global/hydromt/topography/merit_hydro/patches/\*.vrt
- 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:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro
- source_version:
1.0 Deltares patch
gcn250
- path:
p:/wflow_global/hydromt/landuse/gcn250/GCN250_\*.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
grdc
- path:
p:/wflow_global/hydromt/hydro/grdc/GRDC_Stations.csv
- data_type:
GeoDataFrame
- driver:
csv
- notes:
GRDC-Station Catalogue, last downloaded 2020-07-16
- source_license:
- source_url:
grip_roads
- path:
p:/wflow_global/hydromt/infrastructure/grip/GRIP4_world.fgb
- data_type:
GeoDataFrame
- driver:
vector
- 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:
p:/wflow_global/hydromt/hydrography/grwl/GRWL_vector_V01.01/grwl.fgb
- 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
hydro_lakes
- path:
p:/wflow_global/hydromt/hydrography/lakes/lake-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
HydroLAKES.v10_extract
- source_author:
Arjen Haag
- source_version:
1.0
hydro_reservoirs
- path:
p:/wflow_global/hydromt/hydrography/reservoirs/reservoir-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
GRanD.v1.1_HydroLAKES.v10_JRC.2016
- source_author:
Alessia Matano
- source_version:
1.0
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
rgi
- path:
p:/wflow_global/hydromt/hydrography/rgi/rgi.fgb
- data_type:
GeoDataFrame
- driver:
vector
- notes:
Randolph Glacier Inventory
- paper_doi:
10.3189/2014JoG13J176
- paper_ref:
Pfeffer et al. (2014)
- source_license:
CC BY 4.0
- source_url:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview
- source_version:
6.0
soilgrids
- path:
p:/wflow_global/hydromt/soil/soilgrids_v1.0/\*_250m_ll.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
soilgrids_2020
- path:
p:/wflow_global/hydromt/soil/soilgrids_v2.0/\*/\*_mean.vrt
- 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:
- paper_ref:
de Sousa et al. (2020)
- source_license:
CC BY 4.0
- source_url:
- source_version:
2020
SM2RAIN_ASCAT_monthly_025_v1.4
- path:
p:/wflow_global/hydromt/meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_025_2007_2020.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- notes:
crs guessed as it is neither mentioned in the data nor in the literature, 0.25-degree resolution
- paper_doi:
10.5194/essd-11-1583-2019
- paper_ref:
Brocca et al. (2019)
- source_license:
- source_url:
SM2RAIN_ASCAT_monthly_05_v1.4
- path:
p:/wflow_global/hydromt/meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_05_2007_2020.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- notes:
crs guessed as it is neither mentioned in the data nor in the literature, 0.5-degree resolution
- paper_doi:
10.5194/essd-11-1583-2019
- paper_ref:
Brocca et al. (2019)
- source_license:
- source_url:
basin_atlas_level12_v10
- path:
p:/wflow_global/hydromt/hydrography/hydro_atlas/basin_atlas_v10.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
hydrography
- notes:
renaming and units might require some revision
- paper_doi:
10.1038/s41597-019-0300-6
- paper_ref:
Linke et al. (2019)
- source_license:
CC BY 4.0
- source_url:
- source_version:
10
chelsa
- path:
p:/wflow_global/hydromt/meteo/chelsa_clim_v1.2/CHELSA_bio10_12.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:
p://chelsa-climate.org/downloads/
- source_version:
1.2
chirps
- path:
p:/wflow_global/hydromt/meteo/chirps_africa_daily_v2.0/CHIRPS_rainfall_{year}.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- 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:
p:/wflow_global/hydromt/meteo/chirps_global_daily_v2.0/chirps-v2.0.{year}.days_p05.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
copdem30
- path:
p:/wflow_global/hydromt/topography/copdem/copdem.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- source_license:
- source_url:
https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4
- source_version:
2021_1
copdem30_mask
- path:
p:/wflow_global/hydromt/topography/copdem/copdem_mask.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- source_license:
- source_url:
https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4
- source_version:
2021_1
copdem30_masked
- path:
p:/wflow_global/hydromt/topography/copdem/copdem_masked.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- source_license:
- source_url:
https://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4
- source_version:
2021_1
corine
- path:
p:/wflow_global/hydromt/landuse/corine/CLC2018_CLC2018_V2018_20.tif
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- 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:
p:/wflow_global/hydromt/topography/dtu10mdt/DTU10MDT_1min_float32.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:
p:/wflow_global/hydromt/topography/dtu10mdt/DTU10MDT_1min_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:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v22.0e.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:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v22.0e.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_v20.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v20.0e.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:
20.0e
eobs_orography_v23.1e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v23.1e.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:
23.1e
eobs_orography_v24.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v24.0e.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:
24.0e
eobs_orography_v25.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v25.0e.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:
25.0e
eobs_orography_v29.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/elev_ens_0.1deg_reg_v29.0e.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:
29.0e
eobs_v23.1e
- path:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v23.1e.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:
23.1e
eobs_v24.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v24.0e.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:
24.0e
eobs_v25.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v25.0e.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:
25.0e
eobs_v29.0e
- path:
p:/wflow_global/hydromt/meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.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:
29.0e
era5
- path:
p:/wflow_global/hydromt/meteo/era5_daily/nc_merged/era5_{year}\*_daily.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- notes:
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:
p:/wflow_global/hydromt/meteo/era5_daily.zarr
- data_type:
RasterDataset
- driver:
zarr
- category:
meteo
- notes:
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:
p:/wflow_global/hydromt/meteo/era5/{variable}/era5_{variable}_{year}\*_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- notes:
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 single levels from 1940 to present
era5_hourly_zarr
- path:
p:/wflow_global/hydromt/meteo/era5.zarr
- data_type:
RasterDataset
- driver:
zarr
- category:
meteo
- notes:
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 single levels from 1940 to present
era5_ocean
- path:
p:/wflow_global/hydromt/ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
ocean
- notes:
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
- path:
p:/wflow_global/hydromt/meteo/era5/meta/era5_orography_2018.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
meteo
- notes:
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
- path:
p:/wflow_global/hydromt/landuse/esa_worldcover/esa-worldcover.vrt
- data_type:
RasterDataset
- driver:
raster
- category:
landuse
- source_license:
CC BY 4.0
- source_url:
- source_version:
v100
fabdem
- path:
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:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level0.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_0.sh
gadm_level1
- path:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level1.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_1.sh
gadm_level2
- path:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level2.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_2.sh
gadm_level3
- path:
p:/wflow_global/hydromt/geography/gadm/version4_1/gadm_level3.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
last downloaded 2023-12-18; license required for commercial use
- source_author:
gadm
- source_license:
- source_url:
- source_version:
4.1
- processing_script:
geography/gadm/version4_1/run_dissolve_level_3.sh
gcn250
- path:
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:
p:/wflow_global/hydromt/socio_economic/gdp_world/World_countries_GDPpcPPP.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
socio-economic
- notes:
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_author:
Wilfred Altena
- source_license:
CC BY-4.0
- source_version:
1.0
gebco
- path:
p:/wflow_global/hydromt/bathymetry/gebco/gebco.vrt
- 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_pop
- path:
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:
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
- source_version:
R2019A_v1.0
ghs_smod
- path:
p:/wflow_global/hydromt/socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.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_smod_2015_54009_v2016a
- path:
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:
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:
p://due.esrin.esa.int/page_globcover.php
- source_version:
v2.3
glofas_era5_v31
- path:
p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_{year}.nc
- data_type:
RasterDataset
- driver:
netcdf
- category:
hydro
- notes:
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:
p:/wflow_global/hydromt/hydro/glofas_era5/glofas_v31_uparea.tif
- data_type:
RasterDataset
- driver:
raster
- category:
hydro
- notes:
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:
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:
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:
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:
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:
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:
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:
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:
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:
p:/wflow_global/hydromt/hydro/grdc/GRDC_Stations.csv
- data_type:
GeoDataFrame
- driver:
csv
- category:
observed data
- notes:
GRDC-Station Catalogue, last downloaded 2020-07-16
- source_license:
- source_url:
grip_roads
- path:
p:/wflow_global/hydromt/infrastructure/grip/GRIP4_world.fgb
- 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:
p:/wflow_global/hydromt/hydrography/grwl/GRWL_vector_V01.01/grwl.fgb
- 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:
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:
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:
p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_10min_{year}_{month:02d}_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:
p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_dailymax_{year}_{month:02d}_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:
p:/wflow_global/hydromt/p:/11205028-c3s_435/01_data/01_Timeseries/timeseries2/{variable}/reanalysis_{variable}_hourly_{year}_{month:02d}_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:
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:
p://www.dlr.de/guf
hydro_lakes
- path:
p:/wflow_global/hydromt/hydrography/lakes/lake-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- notes:
HydroLAKES.v10_extract
- source_author:
Arjen Haag
- source_version:
1.0
hydro_reservoirs
- path:
p:/wflow_global/hydromt/hydrography/reservoirs/reservoir-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- notes:
GRanD.v1.1_HydroLAKES.v10_JRC.2016
- source_author:
Alessia Matano
- source_version:
1.0
koppen_geiger
- path:
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:
p://koeppen-geiger.vu-wien.ac.at/present.htm
- source_version:
2017
lake_atlas_pol_v10
- path:
p:/wflow_global/hydromt/hydrography/hydro_atlas/lake_atlas_v10.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
hydrography
- notes:
renaming and units might require some revision
- paper_doi:
10.1038/s41597-022-01425-z
- paper_ref:
Lehner et al. (2022)
- source_license:
CC BY 4.0
- source_url:
- source_version:
10
mdt_cnes_cls18
- path:
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:
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:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/
- source_version:
1.0.3
merit_hydro
- path:
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:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro
- source_version:
1.0
merit_hydro_ihu
- path:
p:/wflow_global/hydromt/topography/merit_hydro_ihu/30sec/\*.tif
- data_type:
RasterDataset
- driver:
raster
- category:
topography
- paper_doi:
10.5194/hess-2020-582
- paper_ref:
Eilander et al. (2021)
- source_license:
ODC-By 1.0
- source_url:
- source_doi:
10.5281/zenodo.5166932
- source_version:
1.0
merit_hydro_ihu_index
- path:
p:/wflow_global/hydromt/topography/merit_hydro_ihu/30sec/basins.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
topography
- paper_doi:
10.5194/hess-25-5287-2021
- paper_ref:
Eilander et al. (2021)
- source_license:
CC-BY-NC 4.0
- source_url:
merit_hydro_index
- path:
p:/wflow_global/hydromt/topography/merit_hydro/basin_index.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
topography
- paper_doi:
10.5194/hess-25-5287-2021
- paper_ref:
Eilander et al. (2021)
- source_license:
CC-BY-NC 4.0
merit_hydro_patch
- path:
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:
p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro
- source_version:
1.0 Deltares patch
modis_lai
- path:
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:
p:/wflow_global/hydromt/geography/osm/osm_coastlines-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29
- source_author:
OpenStreetMap
- source_license:
ODbL
- source_url:
- source_version:
1.0
osm_landareas
- path:
p:/wflow_global/hydromt/geography/osm/osm_landareas-db.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
geography
- notes:
OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29
- source_author:
OpenStreetMap
- source_license:
ODbL
- source_url:
- source_version:
1.0
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- category:
water demand
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- category:
water demand
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- category:
water demand
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
pcr_globwb
- path:
p:/wflow_global/hydromt/hydro/pcr_globwb/glob_2005.zarr
- data_type:
RasterDataset
- driver:
zarr
- category:
water demand
- notes:
last downloaded 2023-11-23
- paper_doi:
10.5281/zenodo.1045339
- paper_ref:
Sutanudjaja, E. H., et al (2017)
- source_url:
- source_version:
2017.11b1
- processing_script:
hydro/pcr_globwb/prep_glob.py
rgi
- path:
p:/wflow_global/hydromt/hydrography/rgi/rgi.fgb
- data_type:
GeoDataFrame
- driver:
vector
- category:
surface water
- notes:
Randolph Glacier Inventory
- paper_doi:
10.3189/2014JoG13J176
- paper_ref:
Pfeffer et al. (2014)
- source_license:
CC BY 4.0
- source_url:
https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview
- source_version:
6.0
river_atlas_v10
- path:
p:/wflow_global/hydromt/hydrography/hydro_atlas/river_atlas_v10.gpkg
- data_type:
GeoDataFrame
- driver:
vector
- category:
hydrography
- notes:
renaming and units might require some revision
- paper_doi:
10.1038/s41597-019-0300-6
- paper_ref:
Linke et al. (2019)
- source_license:
CC BY 4.0
- source_url:
- source_version:
10
rivers_lin2019_v1
- path:
p:/wflow_global/hydromt/hydrography/rivers_lin2019/rivers_ge30m.fgb
- 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:
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:
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:
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.
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de Sousa et al. (2020)
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CC BY 4.0
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10.5281/zenodo.3939038
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Buchhorn et al (2020)
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10.5281/zenodo.3518036
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Buchhorn et al (2020)
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wb_countries
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vector
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World Bank
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10.1002/joc.5086
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CC0 1.0
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https://un-spider.org/links-and-resources/data-sources/world-settlement-footprint-2015-wsf-dlr-eoc
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