气候变化领域集成服务门户(CCPortal): Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin

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DOI	10.5194/hess-22-1095-2018
	Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin
	Chawla I.; Osuri K.K.; Mujumdar P.P.; Niyogi D.
发表日期	2018
ISSN	1027-5606
起始页码	1095
结束页码	1117
卷号	22 期号:2
英文摘要	Reliable estimates of extreme rainfall events are necessary for an accurate prediction of floods. Most of the global rainfall products are available at a coarse resolution, rendering them less desirable for extreme rainfall analysis. Therefore, regional mesoscale models such as the advanced research version of the Weather Research and Forecasting (WRF) model are often used to provide rainfall estimates at fine grid spacing. Modelling heavy rainfall events is an enduring challenge, as such events depend on multi-scale interactions, and the model configurations such as grid spacing, physical parameterization and initialization. With this background, the WRF model is implemented in this study to investigate the impact of different processes on extreme rainfall simulation, by considering a representative event that occurred during 15-18 June 2013 over the Ganga Basin in India, which is located at the foothills of the Himalayas. This event is simulated with ensembles involving four different microphysics (MP), two cumulus (CU) parameterizations, two planetary boundary layers (PBLs) and two land surface physics options, as well as different resolutions (grid spacing) within the WRF model. The simulated rainfall is evaluated against the observations from 18 rain gauges and the Tropical Rainfall Measuring Mission Multi-Satellite Precipitation Analysis (TMPA) 3B42RT version 7 data. From the analysis, it should be noted that the choice of MP scheme influences the spatial pattern of rainfall, while the choice of PBL and CU parameterizations influences the magnitude of rainfall in the model simulations. Further, the WRF run with Goddard MP, Mellor-Yamada-Janjic PBL and Betts-Miller-Janjic CU scheme is found to perform best in simulating this heavy rain event. The selected configuration is evaluated for several heavy to extremely heavy rainfall events that occurred across different months of the monsoon season in the region. The model performance improved through incorporation of detailed land surface processes involving prognostic soil moisture evolution in Noah scheme compared to the simple Slab model. To analyse the effect of model grid spacing, two sets of downscaling ratios - (i) 1:3, global to regional (G2R) scale and (ii) 1:9, global to convection-permitting scale (G2C) - are employed. Results indicate that a higher downscaling ratio (G2C) causes higher variability and consequently large errors in the simulations. Therefore, G2R is adopted as a suitable choice for simulating heavy rainfall event in the present case study. Further, the WRF-simulated rainfall is found to exhibit less bias when compared with the NCEP FiNaL (FNL) reanalysis data. © Author(s) 2018.
语种	英语
scopus关键词	Atmospheric thermodynamics; Boundary layers; Electric power system interconnection; Flood control; Forecasting; Gages; Parameterization; Precipitation (meteorology); Rain gages; Soil moisture; Surface measurement; Weather forecasting; Advanced researches; Different resolutions; Land-surface process; Physical parameterization; Planetary boundary layers; Satellite precipitation; Tropical rainfall measuring missions; Weather research and forecasting models; Rain; climate modeling; cloud microphysics; cumulus; downscaling; extreme event; land surface; parameterization; precipitation intensity; simulation; soil moisture; TRMM; weather forecasting; Ganges Basin; Himalayas; India
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160125
作者单位	Chawla, I., Department of Civil Engineering, Indian Institute of Science, Bangalore, 560012, India, Department of Earth, Atmospheric and Planetary Sciences, Purdue University, West Lafayette, IN 47907, United States; Osuri, K.K., Department of Earth and Atmospheric Sciences, NIT Rourkela, Odisha, 769008, India, Department of Agronomy- Crops, Soils, Water Sciences, Purdue University, West Lafayette, IN 47907, United States; Mujumdar, P.P., Department of Civil Engineering, Indian Institute of Science, Bangalore, 560012, India, Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, 560012, India; Niyogi, D., Department of Agronomy- Crops, Soils, Water Sciences, Purdue University, West Lafayette, IN 47907, United States, Department of Earth, Atmospheric and Planetary Sciences, Purdue University, West Lafayette, IN 47907, United States
推荐引用方式 GB/T 7714	Chawla I.,Osuri K.K.,Mujumdar P.P.,et al. Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin[J],2018,22(2).
APA	Chawla I.,Osuri K.K.,Mujumdar P.P.,&Niyogi D..(2018).Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin.Hydrology and Earth System Sciences,22(2).
MLA	Chawla I.,et al."Assessment of the Weather Research and Forecasting (WRF) model for simulation of extreme rainfall events in the upper Ganga Basin".Hydrology and Earth System Sciences 22.2(2018).