Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 7
Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-5357-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-5357-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 7
Data description article
 | 
24 Jul 2026
Data description article |  | 24 Jul 2026

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

Hongbin Chen, Jian Rao, Seok-Woo Son, Bin Guan, and Mengxin Pan

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Latest update: 14 Oct 2026
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Short summary
We present a global atmospheric river (AR) database derived from ERA5 reanalysis (1940–2024). By employing a novel multi-method fusion algorithm, this database provides AR identification results at a horizontal resolution of 1° × 1° and a temporal resolution of 6 hours. Characterized by enhanced algorithmic robustness and extensive temporal coverage, it offers a valuable resource for further weather and climate research.
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