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DOI10.1029/2019JD031926
Precipitation Probability and Its Future Changes From a Global Cloud-Resolving Model and CMIP6 Simulations
Na Y.; Fu Q.; Kodama C.
发表日期2020
ISSN2169897X
卷号125期号:5
英文摘要This study investigates precipitation probability and its future changes using simulations from the Non-hydrostatic Icosahedral Atmospheric Model (NICAM), a global cloud-resolving model, and Coupled Model Intercomparison Project Phase 6 (CMIP6) models. For the precipitation probability comparison between models and Tropical Rainfall Measuring Mission (TRMM) during 1998–2008, the difference is greatly reduced by regridding to a common coarser resolution, but the difference signs largely remain. Both NICAM and CMIP6 model ensemble mean show less global-mean nonprecipitation fractions than observations, but NICAM agrees better with observations. For global-mean light precipitation probability, NICAM (CMIP6 model ensemble mean) is smaller (larger) than TRMM. NICAM shows higher heavy precipitation probability than TRMM in native resolutions, but it is close to TRMM and falls in the CMIP6 model range after regridding. For the precipitation probability changes from 1979–2008 to 2075–2104, NICAM predicts an increase in nonprecipitation and extreme heavy (>100 mm/day) precipitation probability but a slight decrease in the probability for precipitation <100 mm/day. After regridding to 2.5o, the precipitation intensity where the probability starts to increase becomes ~20 mm/day and the relative increases in nonprecipitation and heavy precipitation probability become much larger. Future heavy precipitation probability relative increases from CMIP6 models are much larger than NICAM at their native resolutions, but NICAM falls in the CMIP6 model range after regridding, indicating robust future increase (decrease) in heavy (light) precipitation probability regardless of underlying convection treatments. Discrepancy, however, exists in the projected nonprecipitation fraction changes: NICAM shows that nonprecipitation probability will increase over most of low and middle latitudes where CMIP6 models show less increases and even decreases. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词climate change; cloud-resolving model; precipitation probability
语种英语
来源期刊Journal of Geophysical Research: Atmospheres
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/186139
作者单位State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Department of Atmospheric Sciences, University of Washington, Seattle, WA, United States; University of Chinese Academy of Sciences, Beijing, China; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
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Na Y.,Fu Q.,Kodama C.. Precipitation Probability and Its Future Changes From a Global Cloud-Resolving Model and CMIP6 Simulations[J],2020,125(5).
APA Na Y.,Fu Q.,&Kodama C..(2020).Precipitation Probability and Its Future Changes From a Global Cloud-Resolving Model and CMIP6 Simulations.Journal of Geophysical Research: Atmospheres,125(5).
MLA Na Y.,et al."Precipitation Probability and Its Future Changes From a Global Cloud-Resolving Model and CMIP6 Simulations".Journal of Geophysical Research: Atmospheres 125.5(2020).
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