Caravan - A global community dataset for large-sample hydrology

doi:10.4121/ca13056c-c347-4a27-b320-930c2a4dd207.v3
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/ca13056c-c347-4a27-b320-930c2a4dd207
Datacite citation style:
Kratzert, Frederik; Haasnoot, David ; Schilperoort, Bart; Hut, R.W. (Rolf) (2024): Caravan - A global community dataset for large-sample hydrology. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/ca13056c-c347-4a27-b320-930c2a4dd207.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
choose version:
version 3 - 2024-11-15 (latest)
version 2 - 2024-06-13 version 1 - 2024-04-09
Delft University of Technology logo
usage stats
199
views
203
downloads
geolocation
Global
time coverage
1981 - current
licence
cc-by.png logo CC BY 4.0

Essentailly a rehosted version of an exisiting database of standardised forcing data.

Caravan is a colection of Camels data sets (and others) from around the world collecting hydrological forcing and observation in a standardised way.

This dataset has been prepared to work nicely with eWaterCycle by Bart Schilperoort using this script which compresses and structures the original dataset NetCDF combining the files into one.

The Caravan data set has forcing from Era5-land, which differs from the original Camels dataset which used daymet, nldas and maurer.

For this reason the Camels-USA file was updated to now also include the original forcing alongside the Era5-land forcing caravan supplies.

Contains a total of 6830 basins from:

history
  • 2024-04-09 first online
  • 2024-11-15 published, posted
publisher
4TU.ResearchData
format
NetCDF
associated peer-reviewed publication
A global community dataset for large-sample hydrology
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management
eWaterCycle
Google Research

DATA

files (2)