Understanding the Biases in Daily Extreme Precipitation Climatology in CMIP6 Models
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| Publicado no: | Geophysical Research Letters vol. 52, no. 12 (Jun 28, 2025) |
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| Autor principal: | |
| Outros Autores: | , , , |
| Publicado em: |
John Wiley & Sons, Inc.
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| Acesso em linha: | Citation/Abstract Full Text Full Text - PDF |
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| 100 | 1 | |a Chen, Jiaqi |u Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, China | |
| 245 | 1 | |a Understanding the Biases in Daily Extreme Precipitation Climatology in CMIP6 Models | |
| 260 | |b John Wiley & Sons, Inc. |c Jun 28, 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Future projections in extreme precipitation depend heavily on climate models. Therefore, assessing their fidelity in reproducing the extreme rainfall characteristics in historical simulation is critical. We evaluated CMIP6 models' performance in reproducing the climatology of daily extremes, focusing on the global land monsoon (GLM) domain that feeds two‐thirds of the world's population. Compared with ERA5, models demonstrate a significant wet bias in GLM domain for the annual maximum daily precipitation (14.14%) and the extreme tail of daily precipitation distributions (32.53%), more than twice the global average. Decomposition of biases reveals that dynamic processes, particularly vertical velocity, primarily drive these biases. Using the quasi‐geostrophic ω $\omega $ equation, we determined that the component associated with large‐scale adiabatic disturbances (ωD ${\omega }_{D}$) mainly drives vertical velocity biases, with diabatic heating term amplifying them. Furthermore, a significant correlation between ωD ${\omega }_{D}$ biases and baroclinicity biases in midlatitude suggests that baroclinicity biases are a key contributor to the vertical velocity biases. | |
| 653 | |a Extreme weather | ||
| 653 | |a Vertical velocities | ||
| 653 | |a Bias | ||
| 653 | |a Models | ||
| 653 | |a Annual precipitation | ||
| 653 | |a Rainfall | ||
| 653 | |a Climatology | ||
| 653 | |a Baroclinic mode | ||
| 653 | |a Diabatic heating | ||
| 653 | |a Adiabatic | ||
| 653 | |a Precipitation | ||
| 653 | |a Rainfall simulators | ||
| 653 | |a Velocity | ||
| 653 | |a Climate models | ||
| 653 | |a Climate science | ||
| 653 | |a Baroclinity | ||
| 653 | |a Daily precipitation | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Liu, Bo |u Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu, China | |
| 700 | 1 | |a Martinez‐Villalobos, Cristian |u Faculty of Engineering and Science, Universidad Adolfo Ibáñez, Santiago, Chile | |
| 700 | 1 | |a Wang, Bin |u Earth System Modeling Center, Nanjing University of Information Science and Technology, Nanjing, China | |
| 700 | 1 | |a Zhang, Zhongshi |u Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China | |
| 773 | 0 | |t Geophysical Research Letters |g vol. 52, no. 12 (Jun 28, 2025) | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3229016072/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3229016072/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3229016072/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |