干旱区生态环境知识资源中心(Arid): Modeling of Daily Rainfall Extremes, Using a Semi-Parametric Pareto Tail Approach

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DOI	10.1007/s11269-018-2112-4
	Modeling of Daily Rainfall Extremes, Using a Semi-Parametric Pareto Tail Approach
	Shahraki, Nadia 1; Marofi, Safar 1; Ghazanfari, Sadegh 2
通讯作者	Marofi, Safar
来源期刊	WATER RESOURCES MANAGEMENT
ISSN	0920-4741
EISSN	1573-1650
出版年	2019
卷号	33 期号:2 页码:493-508
英文摘要	Various approaches have been widely proposed for simulation of the occurrence and the amount of daily rainfall. In this study, a piecewise distribution approach has been developed to improve extreme event amount simulation. The gamma-generalized Pareto (GGP) approach employs a combination of the generalized Pareto (GP) and the gamma density estimation method to model the daily rainfall distribution. Furthermore, three stochastic rainfall time series generations have been developed and compared to simulate the daily rainfall occurrence based on the first-order Markov chain (MC1), the second-order Markov chain (MC2) and the third-order Markov chain (MC3) approaches. 30years daily datasets from 5 synoptic stations have been used in the semi-arid extra cold in Iran. The performance of different approaches has been compared using Akaike information climate criterion (AIC) and root mean square error (RMSE). Results show that MC1 performs relatively better than MC2 and MC3 for daily rainfall occurrence modeling. Results also show that the GGP probability density performs better to reproduce extreme daily rainfall compared with gamma, GP and exponential distributions.
英文关键词	Markov chain Piecewise distribution Rainfall sequence Semi-arid extra cold
类型	Article
语种	英语
国家	Iran
收录类别	SCI-E
WOS记录号	WOS:000457803400003
WOS关键词	DAILY PRECIPITATION OCCURRENCE ; MARKOV-CHAIN MODEL ; STOCHASTIC GENERATION ; WEATHER ; ORDER ; DISTRIBUTIONS ; PATTERNS ; REGION
WOS类目	Engineering, Civil ; Water Resources
WOS研究方向	Engineering ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219275
作者单位	1.Bu Ali Sina Univ, Dept Water Sci Engn, Fac Agr, Hamadan, Iran; 2.Kerman Grad Univ Adv Technol, Dept Water Engn, Kerman, Iran
推荐引用方式 GB/T 7714	Shahraki, Nadia,Marofi, Safar,Ghazanfari, Sadegh. Modeling of Daily Rainfall Extremes, Using a Semi-Parametric Pareto Tail Approach[J],2019,33(2):493-508.
APA	Shahraki, Nadia,Marofi, Safar,&Ghazanfari, Sadegh.(2019).Modeling of Daily Rainfall Extremes, Using a Semi-Parametric Pareto Tail Approach.WATER RESOURCES MANAGEMENT,33(2),493-508.
MLA	Shahraki, Nadia,et al."Modeling of Daily Rainfall Extremes, Using a Semi-Parametric Pareto Tail Approach".WATER RESOURCES MANAGEMENT 33.2(2019):493-508.