Caravan - A global community dataset for large-sample hydrology
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 difficul...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2023-01-01
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Series: | Scientific Data |
Online Access: | https://doi.org/10.1038/s41597-023-01975-w |
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author | Frederik Kratzert Grey Nearing Nans Addor Tyler Erickson Martin Gauch Oren Gilon Lukas Gudmundsson Avinatan Hassidim Daniel Klotz Sella Nevo Guy Shalev Yossi Matias |
author_facet | Frederik Kratzert Grey Nearing Nans Addor Tyler Erickson Martin Gauch Oren Gilon Lukas Gudmundsson Avinatan Hassidim Daniel Klotz Sella Nevo Guy Shalev Yossi Matias |
author_sort | Frederik Kratzert |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-10T17:21:32Z |
format | Article |
id | doaj.art-5b1436c4feef4818b712c766b37627f2 |
institution | Directory Open Access Journal |
issn | 2052-4463 |
language | English |
last_indexed | 2024-04-10T17:21:32Z |
publishDate | 2023-01-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Scientific Data |
spelling | doaj.art-5b1436c4feef4818b712c766b37627f22023-02-05T12:04:28ZengNature PortfolioScientific Data2052-44632023-01-0110111110.1038/s41597-023-01975-wCaravan - A global community dataset for large-sample hydrologyFrederik Kratzert0Grey Nearing1Nans Addor2Tyler Erickson3Martin Gauch4Oren Gilon5Lukas Gudmundsson6Avinatan Hassidim7Daniel Klotz8Sella Nevo9Guy Shalev10Yossi Matias11Google ResearchGoogle ResearchFathom, Square WorksGoogleInstitute for Machine Learning, Johannes Kepler UniversityGoogle ResearchInstitute for Atmospheric and Climate Science, ETH ZurichGoogle ResearchInstitute for Machine Learning, Johannes Kepler UniversityGoogle ResearchGoogle ResearchGoogle ResearchAbstract 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.https://doi.org/10.1038/s41597-023-01975-w |
spellingShingle | Frederik Kratzert Grey Nearing Nans Addor Tyler Erickson Martin Gauch Oren Gilon Lukas Gudmundsson Avinatan Hassidim Daniel Klotz Sella Nevo Guy Shalev Yossi Matias Caravan - A global community dataset for large-sample hydrology Scientific Data |
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 |
url | https://doi.org/10.1038/s41597-023-01975-w |
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