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DOI10.1029/2019JD031926
Precipitation Probability and Its Future Changes From a Global Cloud-Resolving Model and CMIP6 Simulations
Na, Ying1,2,3; Fu, Qiang2; Kodama, Chihiro4
2020-03-16
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2020
卷号125期号:5
文章类型Article
语种英语
国家Peoples R China; USA; Japan
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 2.5 degrees, 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.


英文关键词precipitation probability climate change cloud-resolving model
领域气候变化
收录类别SCI-E
WOS记录号WOS:000519602000008
WOS关键词REGIONAL CLIMATE MODEL ; EXTREME PRECIPITATION ; DAILY RAINFALL ; HORIZONTAL RESOLUTION ; HEAVY-PRECIPITATION ; HYDROLOGICAL CYCLE ; GPCP ; INDEXES ; TRMM ; TEMPERATURE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/280113
专题气候变化
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing, Peoples R China;
2.Univ Washington, Dept Atmospher Sci, Seattle, WA 98195 USA;
3.Univ Chinese Acad Sci, Beijing, Peoples R China;
4.Japan Agcy Marine Earth Sci & Technol, Yokohama, Kanagawa, Japan
推荐引用方式
GB/T 7714
Na, Ying,Fu, Qiang,Kodama, Chihiro. Precipitation Probability and Its Future Changes From a Global Cloud-Resolving Model and CMIP6 Simulations[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(5).
APA Na, Ying,Fu, Qiang,&Kodama, Chihiro.(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, Ying,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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