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DOI	10.1016/j.atmosres.2018.12.005
	Assessment of various cumulus parameterization schemes for the simulation of very heavy rainfall event based on optimal ensemble approach
	Budakoti S.; Singh C.; Pal P.K.
发表日期	2019
ISSN	0169-8095
起始页码	195
结束页码	206
卷号	218
英文摘要	In this study, an attempt has been made to investigate one of the recently occurred extreme rainfall events (EREs) viz.; cloudburst over Pithoragarh district (July 1, 2016) of Uttrakhand in the North-West Himalayan (NWH) region using Weather Research and Forecast model (WRF 3.8.1) based on optimal ensemble approach. Four ensemble members, initialized with perturbed initial conditions corresponding to various cumulus parameterization (CP) schemes, have been generated. Accumulated rainfall for 24 h based on 4 ensemble members have been validated against the remotely sensed HE-rain derived from INSAT-3D measurements. For the simulation purpose, WRF model is tuned with variations in various scale not-aware and scale aware CP schemes viz.; Kain-Fritsch (KF), Bettes’ Miller Janjic (BMJ), Arakawa Schubert (AS), Tiedtke, Grell-Freitas (GF), Multi-Scale Kain-Fritsch (MSKF) and new Tiedtke. It is noted from the present analysis that two out of four ensemble members corresponding to KF scheme simulate rainfall close to the observation. In addition, it is also noted that the spread amongst the ensemble members is very large in case of BMJ, AS, MSKF, Tiedtke, GF and new Tiedtke schemes. Considering large bias amongst various ensemble members for each of the CP schemes, it is suggested that the results based on one ensemble member may be regarded spurious. Further, based on the closest match of ensemble mean with the observation and comparison amongst the simulated grid scale and sub grid scale rainfall corresponding to various CP schemes, it is suggested that scale aware MSKF scheme may be utilized for the simulations of EREs over the NWH region. © 2018 Elsevier B.V.
英文关键词	Cumulus parameterization schemes; Ensembles mean; EREs; NWH; WRF
语种	英语
scopus关键词	Clouds; Parameterization; Weather forecasting; Accumulated rainfall; Cumulus parameterization; Cumulus parameterization schemes; Ensembles mean; EREs; Initial conditions; Optimal ensemble; Weather Research and Forecast models; Rain; climate modeling; computer simulation; cumulus; extreme event; parameterization; precipitation (climatology); Himalayas; India; Pithoragarh; Uttarakhand
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/162017
作者单位	Marine and Atmospheric Science Department, Indian Institute of Remote Sensing, ISRO, Dehradun, India; Foremerly associated with CSSTEAP, Headquarters, IIRS Campus, Dehradun, India
推荐引用方式 GB/T 7714	Budakoti S.,Singh C.,Pal P.K.. Assessment of various cumulus parameterization schemes for the simulation of very heavy rainfall event based on optimal ensemble approach[J],2019,218.
APA	Budakoti S.,Singh C.,&Pal P.K..(2019).Assessment of various cumulus parameterization schemes for the simulation of very heavy rainfall event based on optimal ensemble approach.Atmospheric Research,218.
MLA	Budakoti S.,et al."Assessment of various cumulus parameterization schemes for the simulation of very heavy rainfall event based on optimal ensemble approach".Atmospheric Research 218(2019).