气候变化领域集成服务门户(CCPortal): Precipitation Characteristics in the Community Atmosphere Model and Their Dependence on Model Physics and Resolution

CCPortal

DOI	10.1029/2018MS001536
	Precipitation Characteristics in the Community Atmosphere Model and Their Dependence on Model Physics and Resolution
	Chen D.; Dai A.
发表日期	2019
ISSN	19422466
起始页码	2352
结束页码	2374
卷号	11 期号:7
英文摘要	Precipitation amount (A), frequency (F), intensity (I), and duration (D) are important properties of precipitation, but their estimates are sensitive to data resolution. This study investigates this resolution dependence, and the influences of different model physics, by analyzing simulations by the Community Atmospheric Model (CAM) version 4 (CAM4) and version 5 (CAM5) with varying grid sizes from ~0.25 to 2.0°. Results show that both CAM4 and CAM5 greatly overestimate F and D but underestimate I at all resolutions, despite realistic A. These biases partly result from too much parameterized (convective) precipitation with high F and D but low I. Different cloud microphysics schemes contribute to the precipitation differences between CAM4 and CAM5. The A, F, I, and D of convective and nonconvective precipitation react differently to grid-size decreases, leading to the large decreases in F and D but increases in the I for total precipitation as model resolution increases. This resolution dependence results from the increased probability of precipitation over a larger area (area aggregation effect, which is smaller than in observations) and the varying performance of model physics under changing resolution (model adjustment effect), which roughly enhances the aggregation-induced dependence. Finer grid sizes not only increase resolved precipitation, which has higher intensity and thus improves overall precipitation intensity in CAM, but also reduce the area aggregation effect. Thus, the long-standing drizzling problem in climate models may be mitigated by increasing model resolution and modifying model physics to suppress parameterized convective precipitation and enhance resolved nonconvective precipitation. ©2019. The Authors.
语种	英语
scopus关键词	Cams; Climate models; Cloud microphysics; Community atmosphere model; Community atmospheric model; Convective precipitation; Data resolutions; Precipitation characteristics; Precipitation intensity; Total precipitation; Precipitation (meteorology); atmospheric modeling; climate modeling; cloud microphysics; convective system; physics; precipitation (climatology); precipitation intensity; spatial resolution
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156959
作者单位	Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York, Albany, NY, United States
推荐引用方式 GB/T 7714	Chen D.,Dai A.. Precipitation Characteristics in the Community Atmosphere Model and Their Dependence on Model Physics and Resolution[J],2019,11(7).
APA	Chen D.,&Dai A..(2019).Precipitation Characteristics in the Community Atmosphere Model and Their Dependence on Model Physics and Resolution.Journal of Advances in Modeling Earth Systems,11(7).
MLA	Chen D.,et al."Precipitation Characteristics in the Community Atmosphere Model and Their Dependence on Model Physics and Resolution".Journal of Advances in Modeling Earth Systems 11.7(2019).