干旱区生态环境知识资源中心(Arid): Exploring the uncertainty of weather generators' extreme estimates in different practical available information scenarios

Arid

DOI	10.1080/02626667.2023.2208754
	Exploring the uncertainty of weather generators' extreme estimates in different practical available information scenarios
	Beneyto, Carles; Aranda, Jose Angel; Frances, Felix
通讯作者	Beneyto, C
来源期刊	HYDROLOGICAL SCIENCES JOURNAL
ISSN	0262-6667
EISSN	2150-3435
出版年	2023
卷号	68 期号:9 页码:1203-1212
英文摘要	Stochastic weather generators are powerful tools capable of extending the available precipitation records to the desired length. These, however, rely upon the amount of information available, which often is scarce, especially in arid and semi-arid regions. No studies can be found dealing with the uncertainty associated with these estimates related to the amount of information used in the weather generation calibration process, which is precisely the aim of the present study. A Monte Carlo simulation from a synthetic population was performed, evaluating the uncertainty of the simulated quantiles in different practical available information scenarios. The results showed that incorporating a regional study of annual maximum daily precipitation in the model parameterization clearly reduced the uncertainty of all quantile estimates. In addition, it has been proved that the uncertainty of these estimates increases with the population extremality, thus marking the importance of integrating additional information in regions with extreme precipitation patterns.
英文关键词	Weather generator uncertainty regional extreme precipitation study Monte Carlo simulation quantile
类型	Article
语种	英语
开放获取类型	hybrid
收录类别	SCI-E
WOS记录号	WOS:001010050600001
WOS关键词	DAILY PRECIPITATION ; STOCHASTIC GENERATION ; FLOOD ; TEMPERATURE ; RAINFALL ; MODELS
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/396885
推荐引用方式 GB/T 7714	Beneyto, Carles,Aranda, Jose Angel,Frances, Felix. Exploring the uncertainty of weather generators' extreme estimates in different practical available information scenarios[J],2023,68(9):1203-1212.
APA	Beneyto, Carles,Aranda, Jose Angel,&Frances, Felix.(2023).Exploring the uncertainty of weather generators' extreme estimates in different practical available information scenarios.HYDROLOGICAL SCIENCES JOURNAL,68(9),1203-1212.
MLA	Beneyto, Carles,et al."Exploring the uncertainty of weather generators' extreme estimates in different practical available information scenarios".HYDROLOGICAL SCIENCES JOURNAL 68.9(2023):1203-1212.