Articles | Volume 26, issue 7
https://doi.org/10.5194/acp-26-4633-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-4633-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Apr 2026
Research article |
| 08 Apr 2026
| 08 Apr 2026
Evaluation of reanalysis precipitable water vapor under typhoon conditions using multi-source observations
Jiaqi Shi
GNSS Research Center, Wuhan University, Wuhan, 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China
Min Li
CORRESPONDING AUTHOR
GNSS Research Center, Wuhan University, Wuhan, 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China
Andrea K. Steiner
Wegener Center for Climate and Global Change, University of Graz, 8010 Graz, Austria
Sebastian Scher
Wegener Center for Climate and Global Change, University of Graz, 8010 Graz, Austria
Department of Geography and Regional Sciences, University of Graz, 8010 Graz, Austria
Minghao Zhang
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China
GNSS Research Center, Wuhan University, Wuhan, 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China
Wenliang Gao
GNSS Research Center, Wuhan University, Wuhan, 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China
Yongzhao Fan
GNSS Research Center, Wuhan University, Wuhan, 430079, China
School of Geodesy and Geomatics, Wuhan University, Wuhan, 430079, China
School of Earth Sciences and Engineering, Hohai University, Nanjing, 211100, China
Kefei Zhang
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 221116, China
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Short summary
This study evaluates how three reanalysis datasets represent precipitable water vapor (PWV) during more than 100 typhoons from 2020 to 2024 using multi-source observations. The fifth-generation European Centre for Medium-Range Weather Forecasts Reanalysis (ERA5) performs best, the Japanese Reanalysis for Three Quarters of a Century (JRA-3Q) improves during typhoons, and the Modern-Era Retrospective Analysis for Research and Applications Version 2 (MERRA-2) is less stable
This study evaluates how three reanalysis datasets represent precipitable water vapor (PWV)...
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