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DOI	10.1016/j.dynatmoce.2019.101098
	Simulation of location-specific severe thunderstorm events using high resolution land data assimilation
	Sisodiya A.; Pattnaik S.; Baisya H.; Bhat G.S.; Turner A.G.
发表日期	2019
ISSN	03770265
卷号	87
英文摘要	In this study, the impact of different land initial conditions on the simulation of thunderstorms and monsoon depressions is investigated using the Weather Research and Forecasting (WRF) model. A control run (CNTL) and a simulation with an improved land state (soil moisture and temperature) using the High Resolution Land Data Assimilation System (HRLDAS, experiment name: EHRLDAS) are compared for three different rainfall cases in order to examine the robustness of the assimilation system. The study comprises two thunderstorm cases (one in the pre-monsoon and one during the monsoon) and one monsoon depression case that occurred during the Interaction of Convective Organisation, Atmosphere, Surface and Sea (INCOMPASS) field campaign of the 2016 Indian monsoon. EHRLDAS is shown to yield improvements in the representation of location-specific rainfall, particularly over land. Further, it is found that surface fluxes as well as convective indices are better captured for the pre-monsoon thunderstorm case in EHRLDAS. By analysing components of the vorticity tendency equation, it is found that the vertical advection term is the major contributor towards the positive vorticity tendency in EHRLDAS compared to CNTL, hence improving localised convection and consequently facilitating rainfall. Significant improvements in the simulation of the pre-monsoon thunderstorm are noted, as seen using Automatic Weather Station (AWS) validation, whereas improvements in the monsoon depression are minimal. Further, it is found that vertical advection (moisture flux convergence) is the major driver modulating the convective circulation in localised thunderstorm (monsoon depression) cases and these dynamics are better represented by EHRLDAS compared to CNTL. These findings underline the importance of accurate and high resolution land-state conditions in model initial conditions for forecasting severe weather systems, particularly the simulation of localised thunderstorms over India. © 2019 Elsevier B.V.
英文关键词	High resolution land data assimilation system; Localized convection; Simulation; Thunderstorm
语种	英语
scopus关键词	Advection; Atmospheric thermodynamics; Rain; Soil moisture; Thunderstorms; Vorticity; Weather information services; Assimilation system; Automatic weather stations; Land data assimilation; Land data assimilation systems; Model initial conditions; Moisture flux convergences; Simulation; Weather research and forecasting models; Weather forecasting; atmospheric convection; computer simulation; image resolution; monsoon; precipitation intensity; thunderstorm; weather forecasting; India
来源期刊	Dynamics of Atmospheres and Oceans
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178362
作者单位	School of Earth Ocean and Climate Science, Indian Institute of Technology Bhubaneswar, India; Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science Bengaluru, India; Department of Meteorology, University of Reading, Reading, United Kingdom; National Centre for Atmospheric Science, University of Reading, Reading, United Kingdom
推荐引用方式 GB/T 7714	Sisodiya A.,Pattnaik S.,Baisya H.,et al. Simulation of location-specific severe thunderstorm events using high resolution land data assimilation[J],2019,87.
APA	Sisodiya A.,Pattnaik S.,Baisya H.,Bhat G.S.,&Turner A.G..(2019).Simulation of location-specific severe thunderstorm events using high resolution land data assimilation.Dynamics of Atmospheres and Oceans,87.
MLA	Sisodiya A.,et al."Simulation of location-specific severe thunderstorm events using high resolution land data assimilation".Dynamics of Atmospheres and Oceans 87(2019).