气候变化领域集成服务门户(CCPortal): Improved Simulation of Monsoon Depressions and Heavy Rains From Direct and Indirect Initialization of Soil Moisture Over India

CCPortal

DOI	10.1029/2020JD032400
	Improved Simulation of Monsoon Depressions and Heavy Rains From Direct and Indirect Initialization of Soil Moisture Over India
	Osuri K.K.; Nadimpalli R.; Ankur K.; Nayak H.P.; Mohanty U.C.; Das A.K.; Niyogi D.
发表日期	2020
ISSN	2169897X
卷号	125 期号:14
英文摘要	This study investigates the impact of direct versus indirect initialization of soil moisture (SM) and soil temperature (ST) on monsoon depressions (MDs) and heavy rainfall simulations over India. SM/ST products obtained from high-resolution, land data assimilation system (LDAS) are used in the direct initialization of land surface conditions in the ARW modeling system. In the indirect method, the initial SM is sequentially adjusted through the flux-adjusting surface data assimilation system (FASDAS). These two approaches are compared with a control experiment (CNTL) involving climatological SM/ST conditions for eight MDs at 4-km horizontal resolution. The surface fields simulated by the LDAS run showed the highest agreement, followed by FASDAS for relatively dry June cases, but the error is high (~15–30%) for the relatively wet August cases. The moisture budget indicates that moisture convergence and local influence contributed more to rainfall. The surface-rainfall feedback analysis reveals that surface conditions and evaporation have a dominant impact on the rainfall simulation and these couplings are notable in LDAS runs. The contiguous rain area (CRA) method indicates better performance of LDAS for very heavy rainfall distribution, and the location (ETS > 0.2), compared to FASDAS and CNTL. The pattern error contributes the maximum to the total rainfall error, and the displacement error is more in August cases' rainfall than that in June cases. Overall analyses indicated that the role of land conditions is significantly high in the drier month (June) than a wet month (August), and direct initialization of SM/ST fields yielded improved MD and heavy rain simulations. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词	ARW model; FASDAS; HRLDAS; Indian Monsoon Region; Land surface initialization; Monsoon Depressions
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/185891
作者单位	Department of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela, India; School of Earth Ocean and Climate Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, India; Department of Atmospheric and Earth Science, University of Alabama in Huntsville, Huntsville, AL, United States; Numerical Weather Prediction Division, India Meteorological Division, New Delhi, India; Department of Agronomy, Crops, Soils, and Water sciences, Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, IN, United States; Department of Geological Sciences, Jackson School of Geosciences, Department of Civil, Architectural, and Environmental Engineering, University of Texas at Austin, Austin, TX, United States
推荐引用方式 GB/T 7714	Osuri K.K.,Nadimpalli R.,Ankur K.,et al. Improved Simulation of Monsoon Depressions and Heavy Rains From Direct and Indirect Initialization of Soil Moisture Over India[J],2020,125(14).
APA	Osuri K.K..,Nadimpalli R..,Ankur K..,Nayak H.P..,Mohanty U.C..,...&Niyogi D..(2020).Improved Simulation of Monsoon Depressions and Heavy Rains From Direct and Indirect Initialization of Soil Moisture Over India.Journal of Geophysical Research: Atmospheres,125(14).
MLA	Osuri K.K.,et al."Improved Simulation of Monsoon Depressions and Heavy Rains From Direct and Indirect Initialization of Soil Moisture Over India".Journal of Geophysical Research: Atmospheres 125.14(2020).