Quantitative Monthly Precipitation Forecasting Using Cyclostationary Empirical Orthogonal Function and Canonical Correlation Analysis
Sun, Mingdong; Kim, Gwangseob
刊名JOURNAL OF HYDROLOGIC ENGINEERING
2016-01
卷号21期号:1页码:-
关键词Precipitation forecasting Empirical orthogonal function Cyclostationary empirical orthogonal function Canonical correlation analysis Asian monsoon
英文摘要An empirical statistical system for quantitative forecasting of monthly precipitation in Korea has been developed using the cyclo-stationary empirical orthogonal function (CSEOF) and the canonical correlation analysis (CCA) with sea surface temperature (SST) data as the predictor. Monthly Korean precipitation and SST data are comprehensively analyzed using the empirical orthogonal function (EOF) technique and the CSEOF technique, respectively, and the CSEOF technique can exhibit the spatial distribution and temporal evolution characteristics of variability along with recurrent seasons of precipitation in Korea. Through a multivariate regression method, the CCA technique is used to forecast precipitation with different lead times, and the forecasting results indicate that the CSEOF-CCA forecasting model agrees well with the observation data and is particularly useful in forecasting seasonal precipitation variations in Korea. (C) 2015 American Society of Civil Engineers.
内容类型期刊论文
源URL[http://ir.rcees.ac.cn/handle/311016/35647]  
专题生态环境研究中心_城市与区域生态国家重点实验室
推荐引用方式
GB/T 7714
Sun, Mingdong,Kim, Gwangseob. Quantitative Monthly Precipitation Forecasting Using Cyclostationary Empirical Orthogonal Function and Canonical Correlation Analysis[J]. JOURNAL OF HYDROLOGIC ENGINEERING,2016,21(1):-.
APA Sun, Mingdong,&Kim, Gwangseob.(2016).Quantitative Monthly Precipitation Forecasting Using Cyclostationary Empirical Orthogonal Function and Canonical Correlation Analysis.JOURNAL OF HYDROLOGIC ENGINEERING,21(1),-.
MLA Sun, Mingdong,et al."Quantitative Monthly Precipitation Forecasting Using Cyclostationary Empirical Orthogonal Function and Canonical Correlation Analysis".JOURNAL OF HYDROLOGIC ENGINEERING 21.1(2016):-.
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