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DOI | 10.1016/j.atmosres.2020.104925 |
Assessing the performance of cloud microphysical parameterization over the Indian region: Simulation of monsoon depressions and validation with INCOMPASS observations | |
Hazra, Vivekananda1; Pattnaik, S.1; Sisodiya, A.1; Baisya, H.1; Turner, A. G.2,3; Bhat, G. S.4 | |
2020-07-15 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2020 |
卷号 | 239 |
文章类型 | Article |
语种 | 英语 |
国家 | India; England |
英文摘要 | This study validates the performance of four different cloud microphysics parameterization (CMP) with the INCOMPASS aircraft observations during monsoon 2016 and assesses its impact on simulations of two monsoon depressions (MDs) using the Weather Research and Forecasting (WRF) model. The simulations are carried out with a lead time up to 96 h. It is found that the Aerosol Aware Thompson (AAT) scheme showed better result in terms of wind and the WRF Double Moment Six Class microphysical scheme (WDM6) showed better correlations for temperature and dew point temperature compared to aircraft measurements. It is noted that the choice of CMP significantly impacts the key characteristics of the MDs such as rainfall, wind, temperature, hydrometeors and associated convective processes (e.g. moist static energy, moisture convergence). In general, CMPs have overestimated the rainfall compared to satellite estimates Tropical Rainfall Measuring Mission (TRMM), with WDM6 producing the least errors. Therefore, inter-comparisons of simulations of CMPs are carried out using WDM6 as the benchmark. Inter-comparison results suggest that there is a substantial reduction in rainfall for the Morrison due to drier lower and middle troposphere leading to subdued convective activity compared to others. Further, WDM6 has produced the least errors in the distribution of frozen hydrometer compared to ERAS. By examining the water budget, it is found that moisture convergence is the major driver for the rainfall, and the magnitude of moisture convergence is strongly affected by the choice of CMPs. Additionally, the local and advection terms of the moisture budget equation provide minimal contributions towards rainfall generation. |
英文关键词 | Monsoon Depression Cloud Microphysics Parameterization WRF INCOMPASS |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000525324000014 |
WOS关键词 | COMPOSITE STRUCTURE ; SUMMER MONSOON ; SQUALL LINE ; PART I ; PRECIPITATION ; WRF ; SENSITIVITY ; RAINFALL ; EVENT ; SCHEMES |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/289289 |
专题 | 地球科学 |
作者单位 | 1.Indian Inst Technol Bhubaneswar, Sch Earth Ocean & Climate Sci, Jatni 752050, Khurda, India; 2.Univ Reading, Dept Meteorol, Reading, Berks, England; 3.Univ Reading, Natl Ctr Atmospher Sci, Reading, Berks, England; 4.Indian Inst Sci, Ctr Atmospher & Ocean Sci, Bengaluru, India |
推荐引用方式 GB/T 7714 | Hazra, Vivekananda,Pattnaik, S.,Sisodiya, A.,et al. Assessing the performance of cloud microphysical parameterization over the Indian region: Simulation of monsoon depressions and validation with INCOMPASS observations[J]. ATMOSPHERIC RESEARCH,2020,239. |
APA | Hazra, Vivekananda,Pattnaik, S.,Sisodiya, A.,Baisya, H.,Turner, A. G.,&Bhat, G. S..(2020).Assessing the performance of cloud microphysical parameterization over the Indian region: Simulation of monsoon depressions and validation with INCOMPASS observations.ATMOSPHERIC RESEARCH,239. |
MLA | Hazra, Vivekananda,et al."Assessing the performance of cloud microphysical parameterization over the Indian region: Simulation of monsoon depressions and validation with INCOMPASS observations".ATMOSPHERIC RESEARCH 239(2020). |
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