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A database of objectively identified atmospheric rivers based on a multi-method fusion algorithm

This database presents a global atmospheric river (AR) identification product derived from the vertically integrated water vapor transport (IVT) fields of the ERA5 reanalysis. The database is constructed using an innovative multi-method fusion algorithm, which effectively mitigates the uncertaint

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CreatorChen, Hongbin
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Published2025-12-25
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DOI10.5281/zenodo.18051602
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Downloads60
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Licensecc-by-4.0
File Size137.3 MB
Data TypeDataset
Published2025
Licensecc-by-4.0
Total Views270
Total Downloads60

This database presents a global atmospheric river (AR) identification product derived from the vertically integrated water vapor transport (IVT) fields of the ERA5 reanalysis. The database is constructed using an innovative multi-method fusion algorithm, which effectively mitigates the uncertainties associated with traditional single-method identification algorithms. Spanning the period from 1940 to 2024, the database is provided at a horizontal resolution of 1° × 1° and a time interval of 6 hours (0000, 0600, 1200, 1800 UTC). With its extensive temporal coverage and enhanced algorithmic robustness, this database serves as a high-quality resource for advanced research on AR.

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A database of objectively identified atmospheric rivers based… (Full Dataset)137.3 MB
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Files are hosted on the source repository. Click download to access the full dataset.

Chen, Hongbin (2025). A database of objectively identified atmospheric rivers based on a multi-method fusion algorithm. https://doi.org/10.5281/zenodo.18051602