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Rainfall variation prediction using SD technology based on temperature model for Weihe River basin

文献类型：期刊论文

作者Lu, SB (reprint author), Zhejiang Univ Finance & Econ, Sch Publ Adm, Hangzhou 310018, Zhejiang, Peoples R China.; Xuerui Gao1; Shibao Lu2; Wei L2; Xiaohe Wu2; Xiaojing Gan1
刊名JOURNAL OF WATER AND CLIMATE CHANGE
出版日期2018
卷号9期号:2页码:282-292
关键词Air Temperature Simulation Climate Model Precipitation Forecast Statistical Downscaling Wei River Basin
ISSN号2040-2244
DOI10.2166/wcc.2018.048
文献子类Article
英文摘要Global warming has exerted a significant influence on the water cycle in global drainage basins, involving various aspects associated with ecology, society, economy and human activity. Therefore, accurate forecast and analysis of climatic change trends are the prerequisite to disaster alleviation and prevention. This paper selects a large-scale climate predictor by modeling steps and evaluation indicators for a statistical downscaling (SD) model and establishes a statistical relation between atmospheric circulation factor and precipitation and air temperature at eight stations in Wei River basin in Shaanxi Province for a global climate model output based on hydrological data for Wei River basin in Shaanxi Province. A study was made of the simulated precipitation and air temperature in Wei River basin by principal component analysis and multiple linear regression and achieved favorable results. The approach is better in physical significance and is characterized by accurate climate simulation, simple calculation for statistical downscaling and is convenient for application in various climate models.
学科主题Water Resources
出版地ALLIANCE HOUSE, 12 CAXTON ST, LONDON SW1H0QS, ENGLAND
语种英语
WOS记录号WOS:000436523600006
出版者IWA PUBLISHING
资助机构National Natural Science Foundation of China [51379219] ; National Natural Science Foundation of China [51379219] ; Zhejiang province Funds for Distinguished Young Scientists [LR15E090002] ; Zhejiang province Funds for Distinguished Young Scientists [LR15E090002] ; Social Science Foundation of Zhejiang province [14YSXK02ZD-1YB] ; Social Science Foundation of Zhejiang province [14YSXK02ZD-1YB] ; National Key Research and Development Program of China [2016YFC0401301, 2016YFC0400204] ; National Key Research and Development Program of China [2016YFC0401301, 2016YFC0400204] ; PhD Start-up Fund of Northwest AF University [2452016215] ; PhD Start-up Fund of Northwest AF University [2452016215] ; National Natural Science Foundation of China [51379219] ; National Natural Science Foundation of China [51379219] ; Zhejiang province Funds for Distinguished Young Scientists [LR15E090002] ; Zhejiang province Funds for Distinguished Young Scientists [LR15E090002] ; Social Science Foundation of Zhejiang province [14YSXK02ZD-1YB] ; Social Science Foundation of Zhejiang province [14YSXK02ZD-1YB] ; National Key Research and Development Program of China [2016YFC0401301, 2016YFC0400204] ; National Key Research and Development Program of China [2016YFC0401301, 2016YFC0400204] ; PhD Start-up Fund of Northwest AF University [2452016215] ; PhD Start-up Fund of Northwest AF University [2452016215]
源URL[http://ir.iswc.ac.cn/handle/361005/8237]  
专题水保所科研产出--SCI_2018--SCI
通讯作者Lu, SB (reprint author), Zhejiang Univ Finance & Econ, Sch Publ Adm, Hangzhou 310018, Zhejiang, Peoples R China.
作者单位1.Northwest A&F Univ, Inst Soil & Water Conservat, Yangling 712100, Shaanxi, Peoples R China
2.Zhejiang Univ Finance & Econ, Sch Publ Adm, Hangzhou 310018, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Lu, SB ,Xuerui Gao,Shibao Lu,et al. Rainfall variation prediction using SD technology based on temperature model for Weihe River basin[J]. JOURNAL OF WATER AND CLIMATE CHANGE,2018,9(2):282-292.
APA Lu, SB ,Xuerui Gao,Shibao Lu,Wei L,Xiaohe Wu,&Xiaojing Gan.(2018).Rainfall variation prediction using SD technology based on temperature model for Weihe River basin.JOURNAL OF WATER AND CLIMATE CHANGE,9(2),282-292.
MLA Lu, SB ,et al."Rainfall variation prediction using SD technology based on temperature model for Weihe River basin".JOURNAL OF WATER AND CLIMATE CHANGE 9.2(2018):282-292.

入库方式： OAI收割

来源：水土保持研究所

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