干旱区生态环境知识资源中心(Arid): Assessment of the weather research and forecasting model in simulation of rainfall for Khorasan Razavi Province, Iran

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DOI	10.1007/s12517-021-09215-4
	Assessment of the weather research and forecasting model in simulation of rainfall for Khorasan Razavi Province, Iran
	Sarvestan, Rasoul; Karami, Mokhtar; Sabbaghian, Reza Javidi
通讯作者	Karami, M (corresponding author)，Hakim Sabzevari Univ, Fac Geog & Environm Sci, Dept Climatol, Sabzevar, Iran.
来源期刊	ARABIAN JOURNAL OF GEOSCIENCES
ISSN	1866-7511
EISSN	1866-7538
出版年	2022
卷号	15 期号:2
英文摘要	This paper aims to assess and simulate rainfall in the cities of Khorasan Razavi Province to warn and control floods using the Weather Research and Forecasting (WRF) model. For this purpose, the two rainfall events were selected as the representative of the most severe rains that caused a lot of human and financial losses to the province. Accordingly, the five WRF model schemes, i.e., Purdue-Lin (Lin), WRF Single-Moment class 3, 5, 6 (WSM3, WSM5, WSM6) and WRF Double-Moment class 5 (WDM5), were used to perform rainfall simulation. Also, the six verification methods, i.e., threat scores (TS), false alarm ratio (FAR), hit rate (H), false alarm rate (F), Peirce skill statistic (PSS), and R-squared (R-2), were employed to determine the simulation accuracy. The findings showed that for the desert climates, the WDM5 scheme with R-2 of 78%; for the semi-desert climates, the Lin scheme with R-2 of 98%; for the temperate mountain climates, the WSM3 and WSM6 schemes with R-2 of 98% and 72%; and for the cold mountainous climates due to their high altitude and mountain, all schemes with R-2 of 1 were employed. The research results also showed that the TS verification method for the Lin and WDM5 schemes have more acceptable results with 66% and 63% rather than the other schemes. Also, the FAR for the Lin scheme with the lowest result (36%) is the best scheme in simulation and rainfall forecast for flood risk warnings in the province. Overally, the research results showed that foresting WRF model schemas according to the climate of each region could be suitable for flood warnings and control, and provide more time to protect people's lives and property in the next 24 h.
英文关键词	Flood Climate Rainfall Schemes WRF model
类型	Review
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000742654600001
WOS关键词	WRF MODEL ; PRECIPITATION ; MICROPHYSICS ; VARIABILITY ; CALIBRATION ; CATCHMENTS ; NETWORK ; SYSTEM ; FLOODS
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/376802
作者单位	[Sarvestan, Rasoul; Karami, Mokhtar] Hakim Sabzevari Univ, Fac Geog & Environm Sci, Dept Climatol, Sabzevar, Iran; [Sabbaghian, Reza Javidi] Hakim Sabzevari Univ, Dept Civil Engn, Fac Engn, Sabzevar, Iran
推荐引用方式 GB/T 7714	Sarvestan, Rasoul,Karami, Mokhtar,Sabbaghian, Reza Javidi. Assessment of the weather research and forecasting model in simulation of rainfall for Khorasan Razavi Province, Iran[J],2022,15(2).
APA	Sarvestan, Rasoul,Karami, Mokhtar,&Sabbaghian, Reza Javidi.(2022).Assessment of the weather research and forecasting model in simulation of rainfall for Khorasan Razavi Province, Iran.ARABIAN JOURNAL OF GEOSCIENCES,15(2).
MLA	Sarvestan, Rasoul,et al."Assessment of the weather research and forecasting model in simulation of rainfall for Khorasan Razavi Province, Iran".ARABIAN JOURNAL OF GEOSCIENCES 15.2(2022).