气候变化领域集成服务门户(CCPortal): Deciphering the extreme rainfall scenario over Indian landmass using satellite observations, reanalysis and model forecast: Case studies

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DOI	10.1016/j.atmosres.2020.104943
	Deciphering the extreme rainfall scenario over Indian landmass using satellite observations, reanalysis and model forecast: Case studies
	Saha U.; Singh T.; Sharma P.; Gupta M.D.; Prasad V.S.
发表日期	2020
ISSN	0169-8095
卷号	240
英文摘要	In this study, we provide a comprehensive analysis of spatio-temporal distribution of extreme rainfall of different intensities (heavy, very heavy and extremely heavy) as well as wet spell over the Indian landmass during monsoon (June–August) of 2016–2018 through satellite observations. Moreover, there were ~ 35 extreme rainfall events during the study period, which has accumulated rainfall > 120 mm hr−1 and the first 12 events were identified (having highest amount of accumulated rainfall in a day out of 35 events) for our study. The event locations were so selected where there is not any point observations [automatic weather station (AWS) or automatic rain gauge (ARG)] at the site of extreme rainfall events, not even within 50 km radius of the event site or if any AWS/ARG site is present but were unrecorded or unreported during the time of extreme rainfall event. 70% of the extreme rainfall events (convective storms) occurred in the afternoon where 75% of the events indicates > 150 mm hr−1 accumulated rainfall and the rest 25% shows the accumulation rate to be > 120 mm hr−1. The factors influencing the extreme rainfall events to occur are obtained to be increased instability parameters (convective available potential energy, K-Index, Total Total's index), meteorological, thermodynamic and dynamical parameters (upper and lower level temperature gradient difference, vertical difference of equivalent potential temperature at 850 and 500 hPa, moisture flux convergence) and decreased temperature saturation deficit. The convective growth started initiating 6–7 h before the occurrence of extreme rainfall, indicating the favourable condition for severe convection. Furthermore, if the diurnal relative humidity range is maximum and there is a sharp increase in specific humidity at a location, there is a maximum probability of extreme rainfall after 5–6 h at that location. Both the Global Forecast System (GFS) and NCMRWF Unified Model (NCUM) captured the extreme rainfall events well for the year 2018 over the Indian region. © 2020 Elsevier B.V.
关键词	Atmospheric thermodynamics Extreme weather Forecasting Location Plasma stability Potential energy Rain gages Temperature Weather information services Automatic weather stations Convective available potential energies Extreme rainfall Global forecast systems Moisture flux convergences Monsoon Spatiotemporal distributions Unified Modeling Rain extreme event instability monsoon precipitation intensity raingauge relative humidity spatiotemporal analysis thermodynamics weather forecasting India
语种	英语
来源机构	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/132486
推荐引用方式 GB/T 7714	Saha U.,Singh T.,Sharma P.,et al. Deciphering the extreme rainfall scenario over Indian landmass using satellite observations, reanalysis and model forecast: Case studies[J]. Atmospheric Research,2020,240.
APA	Saha U.,Singh T.,Sharma P.,Gupta M.D.,&Prasad V.S..(2020).Deciphering the extreme rainfall scenario over Indian landmass using satellite observations, reanalysis and model forecast: Case studies.,240.
MLA	Saha U.,et al."Deciphering the extreme rainfall scenario over Indian landmass using satellite observations, reanalysis and model forecast: Case studies".240(2020).