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Caravan - A global community dataset for large-sample hydrology
Open accessAbstract
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.
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The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
Muñoz-Sabater, J., Dutra, E., Agustí-Panareda, A., Albergel, C., Arduini, G., Balsamo, G., Boussetta, S., Choulga, M., Harrigan, S., Hersbach, H., et al. (2021) · Earth System Science Data · doi:10.5194/essd-13-4349-2021 · Cited by 5,540
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Hybrid forecasting: blending climate predictions with AI models
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Schneider, T., Leung, L. R., & Wills, R. C. J. (2024) · Atmospheric Chemistry and Physics · doi:10.5194/acp-24-7041-2024 · Cited by 53
Huynh, N. N. T., Garambois, P.-A., Renard, B., Colleoni, F., Monnier, J., & Roux, H. (2025) · Hydrology and Earth System Sciences · doi:10.5194/hess-29-3589-2025 · Cited by 38
On the foundations of Earth foundation models
Zhu, X. X., Xiong, Z., Wang, Y., Stewart, A. J., Heidler, K., Wang, Y., Yuan, Z., Dujardin, T., Xu, Q., & Shi, Y. (2026) · Communications Earth & Environment · doi:10.1038/s43247-025-03127-x · Cited by 26
Metadata
- Authors
- Kratzert, F., Nearing, G., Addor, N., Erickson, T., Gauch, M., Gilon, O., Gudmundsson, L., Hassidim, A., Klotz, D., Nevo, S., Shalev, G., & Matias, Y.
- Venue
- Scientific Data
- Published
- 2023-01-31
- Volume
- 10
- Issue
- 1
- Pages
- 61-61
- ISSN
- 2052-4463 (ISSN-L)
- OpenAlex
- W4318592683
- Cited by
- 232
- References
- 2
- Type
- data paper
- Language
- en
- Open access
- gold
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- Kratzert, F., Nearing, G., Addor, N., Erickson, T., Gauch, M., Gilon, O., Gudmundsson, L., Hassidim, A., Klotz, D., Nevo, S., Shalev, G., & Matias, Y. (2023). Caravan - A global community dataset for large-sample hydrology. Scientific Data. https://doi.org/10.1038/s41597-023-01975-w
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