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DOI | 10.1029/2020GL090798 |
Potential Precipitation Predictability Decreases Under Future Warming | |
Xu L.; Zhang C.; Chen N.; Moradkhani H.; Chu P.-S.; Zhang X. | |
发表日期 | 2020 |
ISSN | 0094-8276 |
卷号 | 47期号:22 |
英文摘要 | Precipitation predictability is likely to decrease with water cycle intensification under global warming, yet how much it will change spatiotemporally is unclear. We quantify the precipitation predictability changes under future warming using model simulations from Coupled Model Intercomparison Project Phase 5. The global-averaged potential precipitation predictability (PPP) is likely to decrease 0.3% per 1°C increase of global sea surface temperature (SST), with a decrease of 0.8% and 0.1% in tropical and extratropical regions, respectively, under future warming scenarios. The PPP changes are divergent among different models with considerable uncertainty. The estimated declining PPP is closely related to the increase of SST and the decrease of potential SST predictability based on a statistical regression analysis. These results unravel the changing pattern of precipitation predictability under future warming. ©2020. American Geophysical Union. All Rights Reserved. |
英文关键词 | Global warming; Surface waters; Coupled Model Intercomparison Project; Extratropical; Model simulation; Sea surface temperature (SST); Statistical regression analysis; Water cycle; Oceanography; climate modeling; CMIP; extratropical environment; global warming; hydrological cycle; precipitation assessment; prediction; sea surface temperature |
语种 | 英语 |
来源期刊 | Geophysical Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/169406 |
作者单位 | State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China; Center for Complex Hydrosystems Research, Department of Civil, Construction and Environmental Engineering, University of Alabama, Tuscaloosa, AL, United States; Institute of Land Surface System and Sustainable Development, Beijing Normal University, Beijing, China; Collaborative Innovation Center of Geospatial Technology, Wuhan, China; Department of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawai‘i at Mānoa, Honolulu, HI, United States |
推荐引用方式 GB/T 7714 | Xu L.,Zhang C.,Chen N.,et al. Potential Precipitation Predictability Decreases Under Future Warming[J],2020,47(22). |
APA | Xu L.,Zhang C.,Chen N.,Moradkhani H.,Chu P.-S.,&Zhang X..(2020).Potential Precipitation Predictability Decreases Under Future Warming.Geophysical Research Letters,47(22). |
MLA | Xu L.,et al."Potential Precipitation Predictability Decreases Under Future Warming".Geophysical Research Letters 47.22(2020). |
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