Caravan - A global community dataset for large-sample hydrology

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1038/s41597-023-01975-w. This is version 5 of this Preprint.

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Authors

Frederik Kratzert, Grey Nearing , Nans Addor, Tyler Erickson, Martin Gauch , Oren Gilon, Lukas Gudmundsson, Avinatan Hassidim, Daniel Klotz, Sella Nevo, Guy Shalev, Yossi Matias

Abstract

High-quality datasets are essential to support hydrological science and modeling. Several CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) datasets exist for specific countries or regions, however these datasets lack standardization, which makes global studies difficult. This paper introduces a dataset called Caravan (a series of CAMELS) that standardizes and aggregates seven existing large-sample hydrology datasets. Caravan includes meteorological forcing data, streamflow data, and static catchment attributes (e.g., geophysical, sociological, climatological) for 6830 catchments. Most importantly, Caravan is both a dataset and open-source software that allows members of the hydrology community to extend the dataset to new locations by extracting forcing data and catchment attributes in the cloud. Our vision is for Caravan to democratize the creation and use of globally-standardized large-sample hydrology datasets. Caravan is a truly global open-source community resource.

DOI

https://doi.org/10.31223/X50S70

Subjects

Earth Sciences, Hydrology, Physical Sciences and Mathematics

Keywords

hydrology, Rainfall-Runoff, Dataset, open source

Dates

Published: 2022-05-19 16:38

Last Updated: 2022-12-02 01:04

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License

CC BY Attribution 4.0 International