Pre-defined data catalogs

This page contains a list of (global) datasets which can be used with various HydroMT models and workflows. Below are drop down lists with datasets per pre-defined data catalog for use with HydroMT. The summary per dataset contains links to the online source and available literature.

The deltares_data catalog is only available within the Deltares network. However a selection of this data for a the Piave basin (Northern Italy) is available online in the artifact_data archive and will be used if no data catalog is provided. Local or other datasets can also be included by extending the data catalog with new yaml data catalog files. We plan to provide more data catalogs with open data sources in the (near) future. See the data catalog changelog for recent updates on the pre-defined catalogs.

Using a predefined catalog

Command Line Interface (CLI)

To use a predefined catalog, you can specify the catalog name with the -d or --data option when running a HydroMT command. For example, to use the deltares_data catalog with the hydromt build command, you can run the following:

hydromt build MODEL -d deltares_data ...

Alternatively, deltares_data can also be accessed with the --dd option:

hydromt build MODEL --dd ...

You can specify a version of the catalog by adding the version number after the catalog name, e.g. deltares_data=v1.0.0.

hydromt build MODEL -d deltares_data=v1.0.0 ...

Once you have set the data catalog you can specify the data source(s) for each method in the HydroMT model workflow file as shown in the example below with the setup_precip_forcing method.

steps:
  - setup_region:
      region:
      bbox: [4.5, 51.5, 6.5, 53.5]

  - setup_maps_from_rasterdataset:
      raster_fn:
        source: 'eobs'
        version: 'v22.0e'

Python API

To use a predefined catalog in Python, you can specify the catalog name with the data_libs argument when initializing a DataCatalog class. You can specify a data catalog version by adding the version number after the catalog name. You can then get data from the catalog using the DataCatalog.get_rasterdataset() or other :ref: DataCatalog methods.

from hydromt import DataCatalog
data_catalog = DataCatalog(data_libs=["deltares_data"])
# specify a data catalog version
data_catalog = DataCatalog(data_libs=["deltares_data=v1.0.0"])
# get data from the catalog
ds = data_catalog.get_rasterdataset("eobs") # get the most recently added
ds = data_catalog.get_rasterdataset("eobs", version="22.0e") # get a specific version

Available pre-defined data catalogs

deltares_data

geography

gadm

uri:

geography/gadm/version4_1/gadm_level0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_0.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level1

uri:

geography/gadm/version4_1/gadm_level1.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_1.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2

uri:

geography/gadm/version4_1/gadm_level2.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_2.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3

uri:

geography/gadm/version4_1/gadm_level3.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_3.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

osm_coastlines

uri:

geography/osm/osm_coastlines-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -78.733, ‘East’: 180.0, ‘North’: 90.0}}

notes:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

osm_landareas

uri:

geography/osm/osm_landareas-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.666}}

notes:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

hydrography

grwl_mask

uri:

hydrography/grwl/tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo

uri:

hydrography/gswo/occur.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

nodata:

255

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

hydro_basin_atlas_level12

uri:

hydrography/hydro_atlas/basin_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.988, ‘East’: 180.001, ‘North’: 83.626}}

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_lake_atlas_pol

uri:

hydrography/hydro_atlas/lake_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-022-01425-z

paper_ref:

Lehner et al. (2022)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_river_atlas

uri:

hydrography/hydro_atlas/river_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.998, ‘South’: -55.877, ‘East’: 179.998, ‘North’: 83.59}}

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_rivers_lin

uri:

hydrography/rivers_lin2019/rivers_ge30m.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -177.204, ‘South’: -55.414, ‘East’: 180.237, ‘North’: 82.112}}

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

landuse

corine

uri:

landuse/corine/CLC2018_CLC2018_V2018_20.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: 900000.0, ‘South’: 900000.0, ‘East’: 7400000.0, ‘North’: 5500000.0}}

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

esa_worldcover

uri:

landuse/esa_worldcover/esa-worldcover.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 84.0}, ‘time_range’: {‘start’: ‘2020-01-01’, ‘end’: ‘2020-12-31’}}

processing_notes:

prepare vrt file with gdalbuildvrt

url:

https://doi.org/10.5281/zenodo.5571936

license:

CC BY 4.0

globcover

uri:

landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -64.999, ‘East’: 179.999, ‘North’: 90.001}}

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

modis_lai

uri:

landuse/modis/MODIS_MCD15A3H_LAI/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.004, ‘South’: -90.002, ‘East’: 180.004, ‘North’: 90.002}}

paper_doi:

10.5067/MODIS/MCD15A3H.006

paper_ref:

Myneni et al (2015)

processing_notes:

this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’

processing_script:

{‘GEE_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/GEE_MODIS_LAI.js’, ‘merge_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/merge_rasters_GEE_LAI.py’}

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

simard

uri:

landuse/simard/sdat_10023_canopy_height_simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

vito_2015

uri:

landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2016

uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3518026

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2017

uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3518036

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2018

uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3518038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2019

uri:

landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.5281/zenodo.3939050

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

hydro

glofas_era5

uri:

hydro/glofas_era5/glofas_v31_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘1980-01-01’, ‘end’: ‘2021-05-31’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

processing_script:

hydro/glofas_era5/glofas_cds_get.py

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

glofas_uparea

uri:

hydro/glofas_era5/glofas_v31_uparea.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

meteo

SM2RAIN_ASCAT_monthly_025

uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_025_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

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)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

SM2RAIN_ASCAT_monthly_05

uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_05_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

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)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

chelsa

uri:

meteo/chelsa_clim_v1.2/CHELSA_bio10_12.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps

uri:

meteo/chirps_africa_daily_v2.0/CHIRPS_rainfall_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -20.0, ‘South’: -40.0, ‘East’: 55.0, ‘North’: 40.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2022-04-01’}}

paper_doi:

10.1038/sdata.2015.66

paper_ref:

Funk et al (2015)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

chirps_global

uri:

meteo/chirps_global_daily_v2.0/chirps-v2.0.{year}.days_p05.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -50.0, ‘East’: 180.0, ‘North’: 50.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2023-02-01’}}

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5

uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5

uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly

uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly

uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography

uri:

meteo/era5/meta/era5_orography_2018.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘2018-01-01’, ‘end’: ‘2018-01-01’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://apps.ecmwf.int/codes/grib/param-db?id=129

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

koppen_geiger

uri:

meteo/climate_classification_v2017/Map_KG-Global.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

0

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

worldclim

uri:

meteo/worldclim_v2.0/wc2.0_30s_prec.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-999.0

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

ocean

era5_ocean

uri:

ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.25, ‘South’: -90.25, ‘East’: 359.75, ‘North’: 90.25}, ‘time_range’: {‘start’: ‘1979-01-01’, ‘end’: ‘2022-04-08’}}

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

socio-economic

gdp_world

uri:

socio_economic/gdp_world/World_countries_GDPpcPPP.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.665}}

processing_notes:

data combined by Deltares (Wilfred Altena) 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)

author:

Wilfred Altena

license:

CC BY-4.0

ghs_pop_2015

uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.485, ‘East’: 180.0, ‘North’: 83.628}}

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009

uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015

uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015

uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

glw_buffaloes

uri:

socio_economic/glw/5_Bf_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

notes:

last downloaded 2020-06-11

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle

uri:

socio_economic/glw/5_Ct_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken

uri:

socio_economic/glw/5_Ch_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks

uri:

socio_economic/glw/5_Dk_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats

uri:

socio_economic/glw/5_Gt_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses

uri:

socio_economic/glw/5_Ho_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs

uri:

socio_economic/glw/5_Pg_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheeps

uri:

socio_economic/glw/5_Sh_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

guf_bld_2012

uri:

infrastructure/guf/GUF04_DLR_v02.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -65.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

wb_countries

uri:

geography/wb/WB_countries_Admin0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.473, ‘East’: 180.0, ‘North’: 83.634}}

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

author:

World Bank

license:

CC-BY 4.0

worldpop_2020_constrained

uri:

socio_economic/worldpop/ppp_2020_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

nodata:

-99999

paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

processing_script:

socio_economic/worldpop/src/

url:

https://www.worldpop.org/doi/10.5258/SOTON/WP00684

license:

CC BY 4.0

wsf_bld_2015

uri:

infrastructure/wsf/WSF2015_v1_EPSG4326.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

10.1038/s41597-020-00580-5

paper_ref:

Marconcini at al (2020)

url:

https://un-spider.org/links-and-resources/data-sources/world-settlement-footprint-2015-wsf-dlr-eoc

license:

CC0 1.0

topography

copdem30

uri:

topography/copdem/copdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-9999

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_mask

uri:

topography/copdem/copdem_mask.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-1

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_masked

uri:

topography/copdem/copdem_masked.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

dtu10mdt

uri:

topography/dtu10mdt/DTU10MDT_1min_float32.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.992, ‘East’: 179.992, ‘North’: 89.992}}

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96

uri:

topography/dtu10mdt/DTU10MDT_1min_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.985, ‘East’: 179.995, ‘North’: 89.992}}

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

processing_notes:

/topography/dtu10mdt/READ_ME.txt

processing_script:

/topography/dtu10mdt/DTU10MDT_egm96_1min.ipynb

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

fabdem

uri:

topography/fabdem/fabdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

paper_doi:

CC BY-NC-SA 4.0

paper_ref:

Hawker et al. (2022)

url:

https://data.bris.ac.uk/data/dataset/25wfy0f9ukoge2gs7a5mqpq2j7

license:

CC BY-NC-SA 4.0

gebco

uri:

bathymetry/gebco/gebco.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

processing_script:

bathymetry/gebco/gebco_tiles.ipynb

url:

https://www.bodc.ac.uk/data/hosted_data_systems/gebco_gridded_bathymetry_data/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

mdt_cnes_cls18

uri:

topography/mdt_cnes_cls18/MDT_CNES_CLS18_global_filled.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

processing_script:

topography/mdt_cnes_cls18/convert_lon_fill_mdt.ipynb

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit

uri:

topography/merit/merit.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

paper_doi:

10.1002/2017GL072874

paper_ref:

Yamazaki et al. (2018)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro

uri:

topography/merit_hydro/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_notes:

create vrt file with gdalbuildvrt; additional variables for stream-order, basin index (basins), and slope (lndslp) derived with pyflwdir

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu

uri:

topography/merit_hydro_ihu/30sec/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (2021)

source_doi:

10.5281/zenodo.5166932

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

ODC-By 1.0

merit_hydro_ihu_index

uri:

topography/merit_hydro_ihu/30sec/basins.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.025, ‘South’: -59.467, ‘East’: 190.35, ‘North’: 83.683}}

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

CC-BY-NC 4.0

merit_hydro_index

uri:

topography/merit_hydro/basin_index.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.028, ‘South’: -59.46, ‘East’: 190.338, ‘North’: 83.661}}

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

license:

CC-BY-NC 4.0

merit_hydro_patch

uri:

topography/merit_hydro/patches/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_script:

topography/merit_hydro/patches/scripts

processing_notes:

local corrections of flow direction raster and re-derive the related maps (basins, uparea, strord)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

other

gcn250

uri:

landuse/gcn250/GCN250_\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -56.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

255

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

grdc

uri:

hydro/grdc/GRDC_Stations.csv

data_type:

GeoDataFrame

driver:

GeoDataFrameTableDriver

crs:

4326

notes:

GRDC-Station Catalogue, last downloaded 2020-07-16

url:

https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/StationCatalogue

license:

https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/210_prtl/tou.html;jsessionid=A56D50D4A36D3D8707CBF00CBD71F106.live11291?nn=2862854

grip_roads

uri:

infrastructure/grip/GRIP4_world.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.999, ‘South’: -55.055, ‘East’: 180.0, ‘North’: 73.836}}

paper_ref:

Meijer et al, 2018

paper_doi:

10.1088/1748-9326/aabd42

processing_script:

infrastructure/grip/merge.ipynb

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl

uri:

hydrography/grwl/GRWL_vector_V01.01/grwl.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -54.31, ‘East’: 180.0, ‘North’: 82.311}}

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

hydro_lakes

uri:

hydrography/lakes/lake-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

processing_notes:

extract of hydrolakes to only include natural lakes and exclude reservoirs and control lakes (ie filter on Lake_type = 1)

author:

HydroSHEDS

hydro_reservoirs

uri:

hydrography/reservoirs/reservoir-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -153.059, ‘South’: -45.881, ‘East’: 176.825, ‘North’: 70.396}}

nodata:

-99

notes:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

processing_notes:

combined not natural lakes from HydroLAKES v10 (Lake_type != 1) with reservoirs attributes from GRanD v1.1

author:

Alessia Matano

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

rgi

uri:

hydrography/rgi/rgi.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.921, ‘South’: -78.309, ‘East’: 179.751, ‘North’: 83.608}}

notes:

Randolph Glacier Inventory

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

soilgrids

uri:

soil/soilgrids_v1.0/\*_250m_ll.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

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)

processing_notes:

soilthickness is based on 1) soilgrids (global, depth to bedrock - BDRICM variable) and 2) dataset for Eurasia

processing_script:

p:/wflow_global/static_data/wflow_sbm_parameters/

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-201

license:

ODbL

worldpop_2020_UNadj_constrained

uri:

socio_economic/worldpop/ppp_2020_UNadj_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

processing_script:

socio_economic/worldpop/src/

all

SM2RAIN_ASCAT_monthly_025

uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_025_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

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)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

SM2RAIN_ASCAT_monthly_05

uri:

meteo/sm2rain_ascat/SM2RAIN_ASCAT_monthly_05_2007_2020.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘2007-01-01’, ‘end’: ‘2020-12-01’}}

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)

url:

https://zenodo.org/record/4570192#.YueKJWNByUl

license:

https://creativecommons.org/licenses/by/4.0/legalcode

chelsa

uri:

meteo/chelsa_clim_v1.2/CHELSA_bio10_12.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

category:

meteo

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps

uri:

meteo/chirps_africa_daily_v2.0/CHIRPS_rainfall_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -20.0, ‘South’: -40.0, ‘East’: 55.0, ‘North’: 40.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2022-04-01’}}

category:

meteo

paper_doi:

10.1038/sdata.2015.66

paper_ref:

Funk et al (2015)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

chirps_global

uri:

meteo/chirps_global_daily_v2.0/chirps-v2.0.{year}.days_p05.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -50.0, ‘East’: 180.0, ‘North’: 50.0}, ‘time_range’: {‘start’: ‘1981-01-02’, ‘end’: ‘2023-02-01’}}

category:

meteo

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

copdem30

uri:

topography/copdem/copdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-9999

category:

topography

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_mask

uri:

topography/copdem/copdem_mask.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

-1

category:

topography

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

copdem30_masked

uri:

topography/copdem/copdem_masked.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 84.0}}

category:

topography

url:

https://spacedata.copernicus.eu/web/guest/collections/copernicus-digital-elevation-model?p_l_back_url=%2Fweb%2Fguest%2Fsearch%3Fq%3Ddemhttps://spacedata.copernicus.eu/web/cscda/dataset-details?articleId=394198#D4

license:

https://spacedata.copernicus.eu/documents/20126/0/CSCDA_ESA_Mission-specific+Annex+%281%29.pdf/83b44c0a-244a-7ba3-b00c-b578a34e88a7?t=1604070311399

corine

uri:

landuse/corine/CLC2018_CLC2018_V2018_20.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: 900000.0, ‘South’: 900000.0, ‘East’: 7400000.0, ‘North’: 5500000.0}}

category:

landuse

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

dtu10mdt

uri:

topography/dtu10mdt/DTU10MDT_1min_float32.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.992, ‘East’: 179.992, ‘North’: 89.992}}

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96

uri:

topography/dtu10mdt/DTU10MDT_1min_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

extent:

{‘bbox’: {‘West’: -179.992, ‘South’: -89.985, ‘East’: 179.995, ‘North’: 89.992}}

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

processing_notes:

/topography/dtu10mdt/READ_ME.txt

processing_script:

/topography/dtu10mdt/DTU10MDT_egm96_1min.ipynb

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs

uri:

meteo/eobs/\*/{variable}_ens_mean_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2024-02-01’}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

processing_script:

meteo/eobs/scripts/v29.0e_fix_qq_dims_and_match_extent.py

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

meteo/eobs/elev_ens_0.1deg_reg_v29.0e.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -25.0, ‘South’: 25.0, ‘East’: 45.5, ‘North’: 71.5}}

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5

uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5

uri:

meteo/era5_daily.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-02’, ‘end’: ‘2023-11-30’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store; resampled by Deltares to daily frequency using right label for time.

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

processing_script:

https://github.com/Deltares/hydromt/blob/main/data/src/era5_download_resample_convert.py

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly

uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly

uri:

meteo/era5.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘1950-01-01’, ‘end’: ‘2023-03-01’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.adbb2d47

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_ocean

uri:

ocean/era5/{variable}/era5_{variable}_{year}_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.25, ‘South’: -90.25, ‘East’: 359.75, ‘North’: 90.25}, ‘time_range’: {‘start’: ‘1979-01-01’, ‘end’: ‘2022-04-08’}}

category:

ocean

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography

uri:

meteo/era5/meta/era5_orography_2018.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -0.125, ‘South’: -90.125, ‘East’: 359.875, ‘North’: 90.125}, ‘time_range’: {‘start’: ‘2018-01-01’, ‘end’: ‘2018-01-01’}}

category:

meteo

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://apps.ecmwf.int/codes/grib/param-db?id=129

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

esa_worldcover

uri:

landuse/esa_worldcover/esa-worldcover.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 84.0}, ‘time_range’: {‘start’: ‘2020-01-01’, ‘end’: ‘2020-12-31’}}

category:

landuse

processing_notes:

prepare vrt file with gdalbuildvrt

url:

https://doi.org/10.5281/zenodo.5571936

license:

CC BY 4.0

fabdem

uri:

topography/fabdem/fabdem.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

topography

paper_doi:

CC BY-NC-SA 4.0

paper_ref:

Hawker et al. (2022)

url:

https://data.bris.ac.uk/data/dataset/25wfy0f9ukoge2gs7a5mqpq2j7

license:

CC BY-NC-SA 4.0

gadm

uri:

geography/gadm/version4_1/gadm_level0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_0.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level1

uri:

geography/gadm/version4_1/gadm_level1.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_1.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2

uri:

geography/gadm/version4_1/gadm_level2.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_2.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3

uri:

geography/gadm/version4_1/gadm_level3.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.658}}

category:

geography

notes:

last downloaded 2023-12-18; license required for commercial use

processing_script:

geography/gadm/version4_1/run_dissolve_level_3.sh

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gcn250

uri:

landuse/gcn250/GCN250_\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -56.0, ‘East’: 180.0, ‘North’: 84.0}}

nodata:

255

category:

soil

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

gdp_world

uri:

socio_economic/gdp_world/World_countries_GDPpcPPP.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.665}}

category:

socio-economic

processing_notes:

data combined by Deltares (Wilfred Altena) 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)

author:

Wilfred Altena

license:

CC BY-4.0

gebco

uri:

bathymetry/gebco/gebco.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

topography

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

processing_script:

bathymetry/gebco/gebco_tiles.ipynb

url:

https://www.bodc.ac.uk/data/hosted_data_systems/gebco_gridded_bathymetry_data/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

ghs_pop_2015

uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_4326_9ss_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.485, ‘East’: 180.0, ‘North’: 83.628}}

category:

socio-economic

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009

uri:

socio_economic/ghs/GHS_POP_E2015_GLOBE_R2019A_54009_250_V1_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

category:

socio-economic

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015

uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

category:

socio-economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015

uri:

socio_economic/ghs/GHS_SMOD_POP2015_GLOBE_R2019A_54009_1K_V2_0.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

extent:

{‘bbox’: {‘West’: -18041000.0, ‘South’: -9000000.0, ‘East’: 18041000.0, ‘North’: 9000000.0}}

category:

socio-economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

globcover

uri:

landuse/globcover/GLOBCOVER_L4_200901_200912_V2.3.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.001, ‘South’: -64.999, ‘East’: 179.999, ‘North’: 90.001}}

category:

landuse

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

glofas_era5

uri:

hydro/glofas_era5/glofas_v31_{year}.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}, ‘time_range’: {‘start’: ‘1980-01-01’, ‘end’: ‘2021-05-31’}}

category:

hydro

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

processing_script:

hydro/glofas_era5/glofas_cds_get.py

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

glofas_uparea

uri:

hydro/glofas_era5/glofas_v31_uparea.tif

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

hydro

notes:

Extracted from Copernicus Climate Data Store

paper_doi:

10.5194/essd-12-2043-2020

paper_ref:

Harrigan et al. (2020)

url:

https://doi.org/10.24381/cds.a4fdd6b9

license:

https://cds.climate.copernicus.eu/api/v2/terms/static/cems-floods.pdf

glw_buffaloes

uri:

socio_economic/glw/5_Bf_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

notes:

last downloaded 2020-06-11

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle

uri:

socio_economic/glw/5_Ct_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken

uri:

socio_economic/glw/5_Ch_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks

uri:

socio_economic/glw/5_Dk_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats

uri:

socio_economic/glw/5_Gt_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses

uri:

socio_economic/glw/5_Ho_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs

uri:

socio_economic/glw/5_Pg_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheeps

uri:

socio_economic/glw/5_Sh_2010_Da.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

socio-economic

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

grdc

uri:

hydro/grdc/GRDC_Stations.csv

data_type:

GeoDataFrame

driver:

GeoDataFrameTableDriver

crs:

4326

category:

observed data

notes:

GRDC-Station Catalogue, last downloaded 2020-07-16

url:

https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/StationCatalogue

license:

https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/210_prtl/tou.html;jsessionid=A56D50D4A36D3D8707CBF00CBD71F106.live11291?nn=2862854

grip_roads

uri:

infrastructure/grip/GRIP4_world.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.999, ‘South’: -55.055, ‘East’: 180.0, ‘North’: 73.836}}

category:

road

paper_ref:

Meijer et al, 2018

paper_doi:

10.1088/1748-9326/aabd42

processing_script:

infrastructure/grip/merge.ipynb

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl

uri:

hydrography/grwl/GRWL_vector_V01.01/grwl.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -54.31, ‘East’: 180.0, ‘North’: 82.311}}

category:

surface water

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

grwl_mask

uri:

hydrography/grwl/tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

category:

hydrography

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo

uri:

hydrography/gswo/occur.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

nodata:

255

category:

hydrography

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

guf_bld_2012

uri:

infrastructure/guf/GUF04_DLR_v02.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -65.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

socio-economic

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

hydro_basin_atlas_level12

uri:

hydrography/hydro_atlas/basin_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.988, ‘East’: 180.001, ‘North’: 83.626}}

category:

hydrography

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_lake_atlas_pol

uri:

hydrography/hydro_atlas/lake_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

category:

hydrography

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-022-01425-z

paper_ref:

Lehner et al. (2022)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_lakes

uri:

hydrography/lakes/lake-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.865, ‘East’: 180.0, ‘North’: 83.576}}

category:

surface water

processing_notes:

extract of hydrolakes to only include natural lakes and exclude reservoirs and control lakes (ie filter on Lake_type = 1)

author:

HydroSHEDS

hydro_reservoirs

uri:

hydrography/reservoirs/reservoir-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -153.059, ‘South’: -45.881, ‘East’: 176.825, ‘North’: 70.396}}

nodata:

-99

category:

surface water

notes:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

processing_notes:

combined not natural lakes from HydroLAKES v10 (Lake_type != 1) with reservoirs attributes from GRanD v1.1

author:

Alessia Matano

hydro_river_atlas

uri:

hydrography/hydro_atlas/river_atlas_v10.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.998, ‘South’: -55.877, ‘East’: 179.998, ‘North’: 83.59}}

category:

hydrography

notes:

renaming and units might require some revision

paper_doi:

10.1038/s41597-019-0300-6

paper_ref:

Linke et al. (2019)

url:

https://www.hydrosheds.org/hydroatlas

license:

CC BY 4.0

hydro_rivers_lin

uri:

hydrography/rivers_lin2019/rivers_ge30m.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

extent:

{‘bbox’: {‘West’: -177.204, ‘South’: -55.414, ‘East’: 180.237, ‘North’: 82.112}}

category:

hydrography

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

koppen_geiger

uri:

meteo/climate_classification_v2017/Map_KG-Global.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

0

category:

meteo

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

mdt_cnes_cls18

uri:

topography/mdt_cnes_cls18/MDT_CNES_CLS18_global_filled.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

topography

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

processing_script:

topography/mdt_cnes_cls18/convert_lon_fill_mdt.ipynb

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit

uri:

topography/merit/merit.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

topography

paper_doi:

10.1002/2017GL072874

paper_ref:

Yamazaki et al. (2018)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_DEM/

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro

uri:

topography/merit_hydro/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_notes:

create vrt file with gdalbuildvrt; additional variables for stream-order, basin index (basins), and slope (lndslp) derived with pyflwdir

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu

uri:

topography/merit_hydro_ihu/30sec/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (2021)

source_doi:

10.5281/zenodo.5166932

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

ODC-By 1.0

merit_hydro_ihu_index

uri:

topography/merit_hydro_ihu/30sec/basins.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.025, ‘South’: -59.467, ‘East’: 190.35, ‘North’: 83.683}}

category:

topography

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

processing_notes:

topography/merit_hydro_ihu/README

url:

https://zenodo.org/record/5166932#.YVbxJ5pByUk

license:

CC-BY-NC 4.0

merit_hydro_index

uri:

topography/merit_hydro/basin_index.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.028, ‘South’: -59.46, ‘East’: 190.338, ‘North’: 83.661}}

category:

topography

paper_doi:

10.5194/hess-25-5287-2021

paper_ref:

Eilander et al. (2021)

license:

CC-BY-NC 4.0

merit_hydro_patch

uri:

topography/merit_hydro/patches/\*.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 85.0}}

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

processing_script:

topography/merit_hydro/patches/scripts

processing_notes:

local corrections of flow direction raster and re-derive the related maps (basins, uparea, strord)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

modis_lai

uri:

landuse/modis/MODIS_MCD15A3H_LAI/\*.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.004, ‘South’: -90.002, ‘East’: 180.004, ‘North’: 90.002}}

category:

landuse

paper_doi:

10.5067/MODIS/MCD15A3H.006

paper_ref:

Myneni et al (2015)

processing_notes:

this dataset has been extracted from GEE (‘MODIS/006/MCD15A3H’) for the period ‘2003-01-01’, ‘2017-12-31’

processing_script:

{‘GEE_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/GEE_MODIS_LAI.js’, ‘merge_script’: ‘landuse/modis/MODIS_MCD15A3H_LAI/merge_rasters_GEE_LAI.py’}

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

osm_coastlines

uri:

geography/osm/osm_coastlines-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -78.733, ‘East’: 180.0, ‘North’: 90.0}}

category:

geography

notes:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

osm_landareas

uri:

geography/osm/osm_landareas-db.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 83.666}}

category:

geography

notes:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

pcr_globwb

uri:

hydro/pcr_globwb/glob_2005.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-9999

category:

water demand

notes:

last downloaded 2023-11-23

paper_doi:

10.5281/zenodo.1045339

paper_ref:

Sutanudjaja, E. H., et al (2017)

processing_script:

hydro/pcr_globwb/prep_glob.py

url:

https://zenodo.org/records/1045339#.XWUr7E2P5aR

rgi

uri:

hydrography/rgi/rgi.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -179.921, ‘South’: -78.309, ‘East’: 179.751, ‘North’: 83.608}}

category:

surface water

notes:

Randolph Glacier Inventory

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

simard

uri:

landuse/simard/sdat_10023_canopy_height_simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

category:

landuse

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

soilgrids

uri:

soil/soilgrids_v1.0/\*_250m_ll.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

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)

processing_notes:

soilthickness is based on 1) soilgrids (global, depth to bedrock - BDRICM variable) and 2) dataset for Eurasia

processing_script:

p:/wflow_global/static_data/wflow_sbm_parameters/

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-201

license:

ODbL

vito_2015

uri:

landuse/vito/ProbaV_LC100_epoch2015_global_v2.0.2_discrete-classification_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2016

uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2016-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3518026

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2017

uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2017-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3518036

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2018

uri:

landuse/vito/PROBAV_LC100_global_v3.0.1_2018-conso_Discrete-Classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3518038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

vito_2019

uri:

landuse/vito/ProbaV_LC100_global_v3.0.1_2019-nrt_discrete-classification-map_EPSG-4326.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

landuse

paper_doi:

10.5281/zenodo.3939050

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

wb_countries

uri:

geography/wb/WB_countries_Admin0.fgb

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -59.473, ‘East’: 180.0, ‘North’: 83.634}}

category:

socio-economic

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

author:

World Bank

license:

CC-BY 4.0

worldclim

uri:

meteo/worldclim_v2.0/wc2.0_30s_prec.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -90.0, ‘East’: 180.0, ‘North’: 90.0}}

nodata:

-999.0

category:

meteo

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

worldpop_2020_UNadj_constrained

uri:

socio_economic/worldpop/ppp_2020_UNadj_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

processing_script:

socio_economic/worldpop/src/

worldpop_2020_constrained

uri:

socio_economic/worldpop/ppp_2020_constrained.vrt

data_type:

RasterDataset

driver:

RasterioDriver

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -55.985, ‘East’: 180.0, ‘North’: 83.628}}

nodata:

-99999

category:

socio-economic

paper_doi:

10.1371/journal.pone.0107042

paper_ref:

Stevens et al. (2015)

processing_script:

socio_economic/worldpop/src/

url:

https://www.worldpop.org/doi/10.5258/SOTON/WP00684

license:

CC BY 4.0

wsf_bld_2015

uri:

infrastructure/wsf/WSF2015_v1_EPSG4326.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

extent:

{‘bbox’: {‘West’: -180.0, ‘South’: -60.0, ‘East’: 180.0, ‘North’: 80.0}}

category:

socio-economic

paper_doi:

10.1038/s41597-020-00580-5

paper_ref:

Marconcini at al (2020)

url:

https://un-spider.org/links-and-resources/data-sources/world-settlement-footprint-2015-wsf-dlr-eoc

license:

CC0 1.0

artifact_data

geography

gadm_level1

uri:

gadm_level1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2

uri:

gadm_level2.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3

uri:

gadm_level3.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

osm_coastlines

uri:

osm_coastlines.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

osm_landareas

uri:

osm_landareas.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

hydrography

hydro_rivers_lin

uri:

rivers_lin2019_v1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

meteo

chelsa

uri:

chelsa.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps_global

uri:

chirps_global.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

eobs

uri:

eobs.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

eobs_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5

uri:

era5.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

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)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_daily_zarr

uri:

era5_daily_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

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)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly

uri:

era5_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly_zarr

uri:

era5_hourly_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography

uri:

era5_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

koppen_geiger

uri:

koppen_geiger.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

nodata:

0

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

worldclim

uri:

worldclim.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

ocean

gtsmv3_eu_era5

uri:

gtsmv3_eu_era5.nc

data_type:

GeoDataset

driver:

GeoDatasetXarrayDriver

crs:

4326

paper_doi:

10.24381/cds.8c59054f

paper_ref:

Copernicus Climate Change Service 2019

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.8c59054f?tab=overview

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

socio-economic

wb_countries

uri:

wb_countries.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

author:

World Bank

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

license:

CC-BY 4.0

topography

dtu10mdt

uri:

dtu10mdt.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96

uri:

dtu10mdt_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

gebco

uri:

gebco.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

url:

https://www.bodc.ac.uk/data/open_download/gebco/gebco_2020/geotiff/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

mdt_cnes_cls18

uri:

mdt_cnes_cls18.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit_hydro

uri:

merit_hydro/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu

uri:

merit_hydro_1k/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

url:

https://doi.org/10.5281/zenodo.4138776

license:

CC-BY-NC 4.0

merit_hydro_index

uri:

merit_hydro_index.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

license:

CC-BY-NC 4.0

other

corine

uri:

corine.tif

data_type:

RasterDataset

driver:

RasterioDriver

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

gcn250

uri:

gcn250/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

gdp_world

uri:

gdp_world.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

author:

Wilfred Altena

license:

CC BY-4.0

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)

ghs_pop_2015

uri:

ghs_pop_2015.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009

uri:

ghs_pop_2015_54009.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015

uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015

uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

globcover_2009

uri:

globcover.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

glw_buffaloes

uri:

glw_buffaloes.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle

uri:

glw_cattle.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken

uri:

glw_chicken.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks

uri:

glw_ducks.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats

uri:

glw_goats.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses

uri:

glw_horses.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs

uri:

glw_pigs.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheep

uri:

glw_sheep.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

grdc

uri:

grdc.csv

data_type:

GeoDataFrame

driver:

GeoDataFrameTableDriver

crs:

4326

url:

https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/StationCatalogue

license:

https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/210_prtl/tou.html;jsessionid=A56D50D4A36D3D8707CBF00CBD71F106.live11291?nn=2862854

info:

GRDC-Station Catalogue, last downloaded 2020-07-16

grip_roads

uri:

grip_roads.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

paper_doi:

10.1088/1748-9326/aabd42

paper_ref:

Meijer et al, 2018

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl

uri:

grwl.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

grwl_mask

uri:

grwl_tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo

uri:

gswo.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

guf_bld_2012

uri:

guf_bld_2012.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

hydro_lakes

uri:

hydro_lakes.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

author:

Arjen Haag

info:

HydroLAKES.v10_extract

hydro_reservoirs

uri:

hydro_reservoirs.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

nodata:

-99

author:

Alessia Matano

info:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

modis_lai

uri:

modis_lai.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

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)

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

rgi

uri:

rgi.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

info:

Randolph Glacier Inventory

simard

uri:

simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

soilgrids

uri:

soilgrids/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

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)

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-2017

license:

ODbL

vito_2015

uri:

vito.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

all

chelsa

uri:

chelsa.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

meteo

paper_doi:

10.1038/sdata.2017.122

paper_ref:

Karger et al. (2017)

url:

p://chelsa-climate.org/downloads/

license:

CC BY 4.0

chirps_global

uri:

chirps_global.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.3133/ds832

paper_ref:

Funk et al (2014)

url:

https://www.chc.ucsb.edu/data/chirps

license:

CC

corine

uri:

corine.tif

data_type:

RasterDataset

driver:

RasterioDriver

category:

landuse & landcover

url:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018

author:

European Environment Agency

license:

https://land.copernicus.eu/pan-european/corine-land-cover/clc2018?tab=metadata

dtu10mdt

uri:

dtu10mdt.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM2008

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

dtu10mdt_egm96

uri:

dtu10mdt_egm96.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+EGM96

category:

topography

paper_doi:

10.1029/2008JC005179

paper_ref:

Andersen and Knudsen (2009)

url:

https://www.space.dtu.dk/english/research/scientific_data_and_models/global_mean_dynamic_topography

eobs

uri:

eobs.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

eobs_orography

uri:

eobs_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.1029/2017JD028200

paper_ref:

Cornes et al (2018)

url:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

license:

https://surfobs.climate.copernicus.eu/dataaccess/access_eobs.php#datafiles

era5

uri:

era5.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

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)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_daily_zarr

uri:

era5_daily_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

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)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly

uri:

era5_hourly.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_hourly_zarr

uri:

era5_hourly_zarr.zarr

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

era5_orography

uri:

era5_orography.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

history:

Extracted from Copernicus Climate Data Store

paper_doi:

10.1002/qj.3803

paper_ref:

Hersbach et al. (2019)

url:

https://doi.org/10.24381/cds.bd0915c6

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

gadm_level1

uri:

gadm_level1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level2

uri:

gadm_level2.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gadm_level3

uri:

gadm_level3.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

notes:

last downloaded 2020-10-19; license required for commercial use

url:

https://gadm.org/download_world.html

author:

gadm

license:

https://gadm.org/license.html

gcn250

uri:

gcn250/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

category:

soil

paper_doi:

10.1038/s41597-019-0155-x

paper_ref:

Jaafar et al. (2019)

url:

https://doi.org/10.6084/m9.figshare.7756202.v1

license:

CC BY 4.0

gdp_world

uri:

gdp_world.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

socio economic

author:

Wilfred Altena

license:

CC BY-4.0

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)

gebco

uri:

gebco.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+MSL

category:

topography

paper_doi:

10.5285/a29c5465-b138-234d-e053-6c86abc040b9

paper_ref:

Weatherall et al (2020)

url:

https://www.bodc.ac.uk/data/open_download/gebco/gebco_2020/geotiff/

license:

https://www.gebco.net/data_and_products/gridded_bathymetry_data/#a1

ghs_pop_2015

uri:

ghs_pop_2015.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.2905/0C6B9751-A71F-4062-830B-43C9F432370F

paper_ref:

Schiavina et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/0c6b9751-a71f-4062-830b-43c9f432370f

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

ghs_pop_2015_54009

uri:

ghs_pop_2015_54009.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

category:

socio economic

paper_doi:

10.2760/062975

paper_ref:

Florczyk et al (2019)

url:

https://ghsl.jrc.ec.europa.eu/download.php?ds=pop

license:

CC BY 4.0

ghs_smod_2015

uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

category:

socio economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

ghs_smod_2015

uri:

ghs-smod_2015_v2.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

[‘ESRI’, ‘54009’]

category:

socio economic

author:

JRC-ISPRA EC

license:

https://data.jrc.ec.europa.eu/licence/com_reuse

paper_doi:

10.2905/42E8BE89-54FF-464E-BE7B-BF9E64DA5218

paper_ref:

Pesaresi et al (2019)

url:

https://data.jrc.ec.europa.eu/dataset/42e8be89-54ff-464e-be7b-bf9e64da5218

globcover_2009

uri:

globcover.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

landuse & landcover

paper_doi:

10.1594/PANGAEA.787668

paper_ref:

Arino et al (2012)

url:

p://due.esrin.esa.int/page_globcover.php

license:

CC-BY-3.0

glw_buffaloes

uri:

glw_buffaloes.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/5U8MWI

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_cattle

uri:

glw_cattle.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/GIVQ75

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_chicken

uri:

glw_chicken.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/SUFASB

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_ducks

uri:

glw_ducks.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/ICHCBH

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_goats

uri:

glw_goats.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/OCPH42

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_horses

uri:

glw_horses.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/7Q52MV

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_pigs

uri:

glw_pigs.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/33N0JG

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

glw_sheep

uri:

glw_sheep.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.7910/DVN/BLWPZN

paper_ref:

Gilbert at al (2018)

url:

https://dataverse.harvard.edu/dataverse/glw_3

author:

glw (Gridded Livestock of World 3 Dataverse)

license:

CC 4.0

grdc

uri:

grdc.csv

data_type:

GeoDataFrame

driver:

GeoDataFrameTableDriver

crs:

4326

category:

observed data

url:

https://portal.grdc.bafg.de/applications/public.html?publicuser=PublicUser#dataDownload/StationCatalogue

license:

https://www.bafg.de/GRDC/EN/02_srvcs/21_tmsrs/210_prtl/tou.html;jsessionid=A56D50D4A36D3D8707CBF00CBD71F106.live11291?nn=2862854

info:

GRDC-Station Catalogue, last downloaded 2020-07-16

grip_roads

uri:

grip_roads.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

road

paper_doi:

10.1088/1748-9326/aabd42

paper_ref:

Meijer et al, 2018

url:

https://www.globio.info/download-grip-dataset

license:

CC0-1.0

grwl

uri:

grwl.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

category:

surface water

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

grwl_mask

uri:

grwl_tindex.gpkg

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

0

paper_doi:

10.1126/science.aat0636

paper_ref:

Allen and Pavelsky (2018)

url:

https://doi.org/10.5281/zenodo.1297434

license:

CC BY 4.0

gswo

uri:

gswo.tif

data_type:

RasterDataset

driver:

RasterioDriver

nodata:

255

category:

surface water

paper_doi:

10.1038/nature20584

paper_ref:

Pekel et al. (2016)

url:

https://global-surface-water.appspot.com/download

gtsmv3_eu_era5

uri:

gtsmv3_eu_era5.nc

data_type:

GeoDataset

driver:

GeoDatasetXarrayDriver

crs:

4326

category:

ocean

paper_doi:

10.24381/cds.8c59054f

paper_ref:

Copernicus Climate Change Service 2019

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/10.24381/cds.8c59054f?tab=overview

license:

https://cds.climate.copernicus.eu/cdsapp/#!/terms/licence-to-use-copernicus-products

guf_bld_2012

uri:

guf_bld_2012.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

socio economic

paper_doi:

10.1016/j.isprsjprs.2017.10.012

paper_ref:

Esch et al (2017)

url:

p://www.dlr.de/guf

license:

https://www.dlr.de/eoc/en/PortalData/60/Resources/dokumente/guf/DLR-GUF_LicenseAgreement-and-OrderForm.pdf

hydro_lakes

uri:

hydro_lakes.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

surface water

author:

Arjen Haag

info:

HydroLAKES.v10_extract

hydro_reservoirs

uri:

hydro_reservoirs.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

nodata:

-99

category:

surface water

author:

Alessia Matano

info:

GRanD.v1.1_HydroLAKES.v10_JRC.2016

hydro_rivers_lin

uri:

rivers_lin2019_v1.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

category:

hydrography

paper_doi:

10.5281/zenodo.3552776

paper_ref:

Lin et al. (2019)

processing_notes:

hydrography/rivers_lin2019/README

url:

https://zenodo.org/record/3552776#.YVbOrppByUk

license:

CC-BY-NC 4.0

koppen_geiger

uri:

koppen_geiger.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

nodata:

0

category:

meteo

paper_doi:

10.1127/0941-2948/2006/0130

paper_ref:

Kottek et al. (2006)

url:

p://koeppen-geiger.vu-wien.ac.at/present.htm

mdt_cnes_cls18

uri:

mdt_cnes_cls18.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

unit:

m+GOCO05S

category:

topography

paper_doi:

10.5194/os-17-789-2021

paper_ref:

Mulet et al (2021)

url:

https://www.aviso.altimetry.fr/en/data/products/auxiliary-products/mdt.html

merit_hydro

uri:

merit_hydro/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

topography

paper_doi:

10.1029/2019WR024873

paper_ref:

Yamazaki et al. (2019)

url:

p://hydro.iis.u-tokyo.ac.jp/~yamadai/MERIT_Hydro

license:

CC-BY-NC 4.0 or ODbL 1.0

merit_hydro_ihu

uri:

merit_hydro_1k/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

url:

https://doi.org/10.5281/zenodo.4138776

license:

CC-BY-NC 4.0

merit_hydro_index

uri:

merit_hydro_index.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

topography

paper_doi:

10.5194/hess-2020-582

paper_ref:

Eilander et al. (in review)

license:

CC-BY-NC 4.0

modis_lai

uri:

modis_lai.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

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)

url:

https://lpdaac.usgs.gov/products/mcd15a3hv006/

license:

https://lpdaac.usgs.gov/data/data-citation-and-policies/

osm_coastlines

uri:

osm_coastlines.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines water polygons, last updated 2020-01-09T05:29

osm_landareas

uri:

osm_landareas.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

geography

url:

https://osmdata.openstreetmap.de/data/coastlines.html

author:

OpenStreetMap

license:

ODbL

info:

OpenStreetMap coastlines land polygons, last updated 2020-01-09T05:29

rgi

uri:

rgi.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

surface water

paper_doi:

10.3189/2014JoG13J176

paper_ref:

Pfeffer et al. (2014)

url:

https://cds.climate.copernicus.eu/cdsapp#!/dataset/insitu-glaciers-extent?tab=overview

license:

CC BY 4.0

info:

Randolph Glacier Inventory

simard

uri:

simard.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

landuse & landcover

paper_doi:

10.1029/2011JG001708

paper_ref:

Simard et al (2011)

url:

https://webmap.ornl.gov/ogc/dataset.jsp?ds_id=10023

soilgrids

uri:

soilgrids/{variable}.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

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)

url:

https://www.isric.org/explore/soilgrids/faq-soilgrids-2017

license:

ODbL

vito_2015

uri:

vito.tif

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

landuse & landcover

paper_doi:

10.5281/zenodo.3939038

paper_ref:

Buchhorn et al (2020)

url:

https://land.copernicus.eu/global/products/lc

wb_countries

uri:

wb_countries.gpkg

data_type:

GeoDataFrame

driver:

PyogrioDriver

crs:

4326

category:

socio-economic

author:

World Bank

timestamp:

February 2020

url:

https://datacatalog.worldbank.org/dataset/world-bank-official-boundaries

license:

CC-BY 4.0

worldclim

uri:

worldclim.nc

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

meteo

paper_doi:

10.1002/joc.5086

paper_ref:

Fick and Hijmans (2017)

url:

https://www.worldclim.org/data/worldclim21.html

aws_data

landuse

esa_worldcover_2020_v100

uri:

s3://esa-worldcover/v100/2020/ESA_WorldCover_10m_2020_v100_Map_AWS.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

source_version:

v100

url:

https://doi.org/10.5281/zenodo.5571936

license:

CC BY 4.0

all

esa_worldcover_2020_v100

uri:

s3://esa-worldcover/v100/2020/ESA_WorldCover_10m_2020_v100_Map_AWS.vrt

data_type:

RasterDataset

driver:

RasterioDriver

crs:

4326

category:

landuse

source_version:

v100

url:

https://doi.org/10.5281/zenodo.5571936

license:

CC BY 4.0

gcs_cmip6_data

climate

cmip6_AS-RCEC/TaiESM1_historical_r1i1p1f1_Amon

uri:

gs://cmip6/CMIP6/CMIP/AS-RCEC/TaiESM1/historical/r1i1p1f1/Amon/{variable}/\*/\*

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

url:

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license:

CC BY 4.0

cmip6_AS-RCEC/TaiESM1_historical_r1i1p1f1_day

uri:

gs://cmip6/CMIP6/CMIP/AS-RCEC/TaiESM1/historical/r1i1p1f1/day/{variable}/\*/\*

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

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paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

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source_version:

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url:

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cmip6_AS-RCEC/TaiESM1_ssp245_r1i1p1f1_Amon

uri:

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data_type:

RasterDataset

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crs:

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paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

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url:

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paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

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source_version:

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uri:

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paper_ref:

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source_version:

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10.1175/BAMS-D-11-00094.1

paper_ref:

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source_version:

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url:

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gs://cmip6/CMIP6/CMIP/CAS/FGOALS-f3-L/historical/r1i1p1f1/Amon/{variable}/\*/\*

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10.1175/BAMS-D-11-00094.1

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10.1175/BAMS-D-11-00094.1

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Taylor et al. 2012

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RasterDataset

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10.1175/BAMS-D-11-00094.1

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10.1175/BAMS-D-11-00094.1

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10.1175/BAMS-D-11-00094.1

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10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

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data_type:

RasterDataset

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RasterDatasetXarrayDriver

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4326

paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

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gs://cmip6/CMIP6/ScenarioMIP/CMCC/CMCC-CM2-SR5/ssp126/r1i1p1f1/day/{variable}/\*/\*

data_type:

RasterDataset

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RasterDatasetXarrayDriver

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4326

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10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

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gs://cmip6/CMIP6/ScenarioMIP/CMCC/CMCC-CM2-SR5/ssp245/r1i1p1f1/Amon/{variable}/\*/\*

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RasterDataset

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RasterDatasetXarrayDriver

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4326

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10.1175/BAMS-D-11-00094.1

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Taylor et al. 2012

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RasterDataset

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RasterDatasetXarrayDriver

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10.1175/BAMS-D-11-00094.1

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Taylor et al. 2012

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10.1175/BAMS-D-11-00094.1

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Taylor et al. 2012

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cmip6_CMCC/CMCC-CM2-SR5_ssp585_r1i1p1f1_Amon

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cmip6_CMCC/CMCC-CM2-SR5_ssp585_r1i1p1f1_day

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cmip6_CMCC/CMCC-ESM2_historical_r1i1p1f1_Amon

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10.1175/BAMS-D-11-00094.1

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10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

url:

https://console.cloud.google.com/marketplace/details/noaa-public/cmip6?_ga=2.136097265.-1784288694.1541379221&pli=1

license:

CC BY 4.0

cmip6_NOAA-GFDL/GFDL-ESM4_ssp585_r1i1p1f1_Amon

uri:

gs://cmip6/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-ESM4/ssp585/r1i1p1f1/Amon/{variable}/\*/\*

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

climate

paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

url:

https://console.cloud.google.com/marketplace/details/noaa-public/cmip6?_ga=2.136097265.-1784288694.1541379221&pli=1

license:

CC BY 4.0

cmip6_NOAA-GFDL/GFDL-ESM4_ssp585_r1i1p1f1_day

uri:

gs://cmip6/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-ESM4/ssp585/r1i1p1f1/day/{variable}/\*/\*

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

climate

paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

url:

https://console.cloud.google.com/marketplace/details/noaa-public/cmip6?_ga=2.136097265.-1784288694.1541379221&pli=1

license:

CC BY 4.0

cmip6_SNU/SAM0-UNICON_historical_r1i1p1f1_Amon

uri:

gs://cmip6/CMIP6/CMIP/SNU/SAM0-UNICON/historical/r1i1p1f1/Amon/{variable}/\*/\*

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

climate

paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

url:

https://console.cloud.google.com/marketplace/details/noaa-public/cmip6?_ga=2.136097265.-1784288694.1541379221&pli=1

license:

CC BY 4.0

cmip6_SNU/SAM0-UNICON_historical_r1i1p1f1_day

uri:

gs://cmip6/CMIP6/CMIP/SNU/SAM0-UNICON/historical/r1i1p1f1/day/{variable}/\*/\*

data_type:

RasterDataset

driver:

RasterDatasetXarrayDriver

crs:

4326

category:

climate

paper_doi:

10.1175/BAMS-D-11-00094.1

paper_ref:

Taylor et al. 2012

source_version:

1.3.1

url:

https://console.cloud.google.com/marketplace/details/noaa-public/cmip6?_ga=2.136097265.-1784288694.1541379221&pli=1

license:

CC BY 4.0