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题名: Quantitative Monthly Precipitation Forecasting Using Cyclostationary Empirical Orthogonal Function and Canonical Correlation Analysis
作者: Sun, Mingdong; Kim, Gwangseob
刊名: JOURNAL OF HYDROLOGIC ENGINEERING
出版日期: 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
DOI: 10.1061/(ASCE)HE.1943-5584.0001244
部门归属: 城市与区域生态国家重点实验室
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.
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内容类型: 期刊论文
URI标识: http://ir.rcees.ac.cn/handle/311016/35647
Appears in Collections:城市与区域生态国家重点实验室_期刊论文

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