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Caravan - A global community dataset for large-sample hydrology

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 p...

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Autores principales: Kratzert, Frederik, Nearing, Grey, Addor, Nans, Erickson, Tyler, Gauch, Martin, Gilon, Oren, Gudmundsson, Lukas, Hassidim, Avinatan, Klotz, Daniel, Nevo, Sella, Shalev, Guy, Matias, Yossi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887008/
https://www.ncbi.nlm.nih.gov/pubmed/36717577
http://dx.doi.org/10.1038/s41597-023-01975-w
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author Kratzert, Frederik
Nearing, Grey
Addor, Nans
Erickson, Tyler
Gauch, Martin
Gilon, Oren
Gudmundsson, Lukas
Hassidim, Avinatan
Klotz, Daniel
Nevo, Sella
Shalev, Guy
Matias, Yossi
author_facet Kratzert, Frederik
Nearing, Grey
Addor, Nans
Erickson, Tyler
Gauch, Martin
Gilon, Oren
Gudmundsson, Lukas
Hassidim, Avinatan
Klotz, Daniel
Nevo, Sella
Shalev, Guy
Matias, Yossi
author_sort Kratzert, Frederik
collection PubMed
description 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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spelling pubmed-98870082023-02-01 Caravan - A global community dataset for large-sample hydrology Kratzert, Frederik Nearing, Grey Addor, Nans Erickson, Tyler Gauch, Martin Gilon, Oren Gudmundsson, Lukas Hassidim, Avinatan Klotz, Daniel Nevo, Sella Shalev, Guy Matias, Yossi Sci Data Data Descriptor 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. Nature Publishing Group UK 2023-01-31 /pmc/articles/PMC9887008/ /pubmed/36717577 http://dx.doi.org/10.1038/s41597-023-01975-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Kratzert, Frederik
Nearing, Grey
Addor, Nans
Erickson, Tyler
Gauch, Martin
Gilon, Oren
Gudmundsson, Lukas
Hassidim, Avinatan
Klotz, Daniel
Nevo, Sella
Shalev, Guy
Matias, Yossi
Caravan - A global community dataset for large-sample hydrology
title Caravan - A global community dataset for large-sample hydrology
title_full Caravan - A global community dataset for large-sample hydrology
title_fullStr Caravan - A global community dataset for large-sample hydrology
title_full_unstemmed Caravan - A global community dataset for large-sample hydrology
title_short Caravan - A global community dataset for large-sample hydrology
title_sort caravan - a global community dataset for large-sample hydrology
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887008/
https://www.ncbi.nlm.nih.gov/pubmed/36717577
http://dx.doi.org/10.1038/s41597-023-01975-w
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