气候变化领域集成服务门户(CCPortal): Assessment of WRF-ARW model parameterization schemes for extreme heavy precipitation events associated with atmospheric rivers over West Coast of India

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DOI	10.1016/j.atmosres.2020.105330
	Assessment of WRF-ARW model parameterization schemes for extreme heavy precipitation events associated with atmospheric rivers over West Coast of India
	Douluri D.L.; Chakraborty A.
发表日期	2021
ISSN	0169-8095
卷号	249
英文摘要	This study attempts to investigate the simulation of heavy precipitation events (HPEs) over the West Coast of India associated with atmospheric rivers (ARs) using the Advanced Research Weather Research and Forecasting (ARW-WRF) model. The study evaluates the sensitivity of five microphysical (Lin, WSM6, Goddard, Thompson, and Morrison) and cumulus (KF, BMJ, Grell3D, Tidtke, and GD) parameterization schemes to explore the capability to reproduce the AR associated HPEs. The model simulations were reasonably successful at reproducing key structural and synoptic characteristics of atmospheric rivers, including well-defined corridors of strong water vapor transport, meteorological variables and circulation features. Deviations in Rainfall and Wind profiles were observed in simulations among the different parameterization schemes. The model better simulated the AR related precipitation using the Lin, Thompson MP and KF, Grell3D CU schemes when compared to observations, and attributed to the moisture laden tendency of the schemes. Nonetheless, differences in precipitation distribution and overestimation of winds among the model runs using different microphysical and cumulus physics schemes were noted. The study highlights that simulation of AR associated HPEs using high-resolution mesoscale mode with suitable representations of physical parameterization schemes are useful for disaster management and to minimize the loss of fatalities and property. © 2020 Elsevier B.V.
英文关键词	Atmospheric rivers; Cumulus physics; Heavy precipitation; Microphysics; Summer monsoon; WRF
语种	英语
scopus关键词	Atmospheric movements; Clouds; Disaster prevention; Disasters; Parameterization; Precipitation (meteorology); Rivers; Advanced researches; Disaster management; Meteorological variables; Parameterization schemes; Physical parameterization; Precipitation distribution; Water vapor transport; Weather research and forecasting; Weather forecasting; atmospheric moisture; climate modeling; cloud microphysics; cumulus; extreme event; monsoon; parameterization; precipitation (climatology); weather forecasting; India
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145219
作者单位	Centre for Oceans, Rivers, Atmosphere and Land Sciences, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India
推荐引用方式 GB/T 7714	Douluri D.L.,Chakraborty A.. Assessment of WRF-ARW model parameterization schemes for extreme heavy precipitation events associated with atmospheric rivers over West Coast of India[J],2021,249.
APA	Douluri D.L.,&Chakraborty A..(2021).Assessment of WRF-ARW model parameterization schemes for extreme heavy precipitation events associated with atmospheric rivers over West Coast of India.Atmospheric Research,249.
MLA	Douluri D.L.,et al."Assessment of WRF-ARW model parameterization schemes for extreme heavy precipitation events associated with atmospheric rivers over West Coast of India".Atmospheric Research 249(2021).