气候变化领域集成服务门户(CCPortal): Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework

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DOI	10.1029/2019MS002007
	Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework
	Chern J.-D.; Tao W.-K.; Lang S.E.; Li X.; Matsui T.
发表日期	2020
ISSN	19422466
卷号	12 期号:8
英文摘要	Cloud and precipitation systems are simulated with a multi-scale modeling framework (MMF) and compared over the Tropics and Subtropics against the Tropical Rainfall Measuring Mission (TRMM) Radar-defined Precipitation Features (RPFs) product. A methodology, in close analogy to the TRMM RPFs, is developed to produce simulated precipitation features (PFs) from the output of the embedded two-dimensional (2D) cloud-resolving models (CRMs) within an MMF. Despite the limitations of 2D CRMs, the simulated population distribution, horizontal and vertical structure of PFs, and the geographical location and local rainfall contribution of mesoscale convective systems (MCSs) are in good agreement with the TRMM observations. However, some model discrepancies are found and can be identified and quantified within the PF distributions. Using model biases in relative population and rainfall contributions, PFs can be characterized into four size categories: small, medium to large, very large, and extremely large. Four different major mechanisms might account for the model biases in each different category: (1) the two-dimensionality of the CRMs, (2) a positive convection-wind-evaporation feedback loop, (3) an artificial dynamic constraint in a bounded CRM domain with cyclic boundaries, and (4) the limited CRM domain size. The second and fourth mechanisms tend to contribute to the excessive tropical precipitation biases commonly found in most MMFs, whereas the other mechanisms reduce rainfall contributions from small and very large PFs. MMF sensitivity experiments with various CRM domain sizes and grid spacings showed that larger domains (higher resolutions) tend to shift PF populations toward larger (smaller) sizes. © 2020. The Authors.
英文关键词	cyclic boundary; multi-scale modeling framework; Superparameterization; TRMM precipitation features; tropical precipitation; two-dimensionality
语种	英语
scopus关键词	Rain; Storms; Tropics; Cloud resolving model; Geographical locations; Mesoscale Convective System; Rainfall characteristics; Rainfall contributions; Tropical precipitation; Tropical rainfall measuring missions; Two Dimensional (2 D); Rain gages; climate modeling; modeling; observational method; precipitation (climatology); radar; rainfall; TRMM
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/156665
作者单位	Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; Science Systems and Applications Inc., Lanham, MD, United States; GESTAR, Morgan State University, Baltimore, MD, United States
推荐引用方式 GB/T 7714	Chern J.-D.,Tao W.-K.,Lang S.E.,et al. Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework[J],2020,12(8).
APA	Chern J.-D.,Tao W.-K.,Lang S.E.,Li X.,&Matsui T..(2020).Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework.Journal of Advances in Modeling Earth Systems,12(8).
MLA	Chern J.-D.,et al."Evaluating Precipitation Features and Rainfall Characteristics in a Multi-Scale Modeling Framework".Journal of Advances in Modeling Earth Systems 12.8(2020).