DOI: 10.1002/2016MS000678
Scopus记录号: 2-s2.0-84981537951
论文题名: Assessment of the weather research and forecasting model generalized parameterization schemes for advancement of precipitation forecasting in monsoon-driven river basins
作者: Sikder S ; , Hossain F
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期: 3 起始页码: 1210
结束页码: 1228
语种: 英语
英文关键词: Atmospheric thermodynamics
; Clouds
; Flood control
; Floods
; Forecasting
; Image resolution
; Numerical models
; Parameterization
; Precipitation (chemical)
; Precipitation (meteorology)
; Productivity
; Rivers
; Watersheds
; Agricultural productivity
; Cumulus parameterization
; Cumulus parameterization schemes
; Monsoons
; Numerical weather prediction models
; Parameterization schemes
; Precipitation forecasting
; Weather research and forecasting models
; Weather forecasting
; climate modeling
; flood
; flood forecasting
; monsoon
; numerical model
; parameterization
; precipitation (climatology)
; river basin
; spatial resolution
; weather forecasting
; Southeast Asia
英文摘要: Some of the world's largest and flood-prone river basins experience a seasonal flood regime driven by the monsoon weather system. Highly populated river basins with extensive rain-fed agricultural productivity such as the Ganges, Indus, Brahmaputra, Irrawaddy, and Mekong are examples of monsoon-driven river basins. It is therefore appropriate to investigate how precipitation forecasts from numerical models can advance flood forecasting in these basins. In this study, the Weather Research and Forecasting model was used to evaluate downscaling of coarse-resolution global precipitation forecasts from a numerical weather prediction model. Sensitivity studies were conducted using the TOPSIS analysis to identify the likely best set of microphysics and cumulus parameterization schemes, and spatial resolution from a total set of 15 combinations. This identified best set can pinpoint specific parameterizations needing further development to advance flood forecasting in monsoon-dominated regimes. It was found that the Betts-Miller-Janjic cumulus parameterization scheme with WRF Single-Moment 5-class, WRF Single-Moment 6-class, and Thompson microphysics schemes exhibited the most skill in the Ganges-Brahmaputra-Meghna basins. Finer spatial resolution (3 km) without cumulus parameterization schemes did not yield significant improvements. The short-listed set of the likely best microphysics-cumulus parameterization configurations was found to also hold true for the Indus basin. The lesson learned from this study is that a common set of model parameterization and spatial resolution exists for monsoon-driven seasonal flood regimes at least in South Asian river basins. © 2016. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75867
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, United States
Recommended Citation:
Sikder S,, Hossain F. Assessment of the weather research and forecasting model generalized parameterization schemes for advancement of precipitation forecasting in monsoon-driven river basins[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(3)