气候变化领域集成服务门户(CCPortal): Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change

CCPortal

DOI	10.5194/gmd-12-1189-2019
	Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change
	Lee, Taesam; Singh, Vijay P.
发表日期	2019-03-28
ISSN	1991-959X
EISSN	1991-9603
卷号	12 期号:3 页码:1189-1207
英文摘要	Stochastic weather simulation models are commonly employed in water resources management, agricultural applications, forest management, transportation management, and recreational activities. Stochastic simulation of multisite precipitation occurrence is
学科领域	Geosciences, Multidisciplinary
语种	英语
WOS记录号	WOS:000462794200001
来源期刊	GEOSCIENTIFIC MODEL DEVELOPMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/82067
作者单位	Gyeongsang Natl Univ, Dept Civil Engn, ERI, 501 Jinju Daero, Jinju, Gyeongnam, South Korea
推荐引用方式 GB/T 7714	Lee, Taesam,Singh, Vijay P.. Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change[J],2019,12(3):1189-1207.
APA	Lee, Taesam,&Singh, Vijay P..(2019).Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change.GEOSCIENTIFIC MODEL DEVELOPMENT,12(3),1189-1207.
MLA	Lee, Taesam,et al."Discrete k-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change".GEOSCIENTIFIC MODEL DEVELOPMENT 12.3(2019):1189-1207.