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- W2364703786 abstract "The predictability is researched by downscaling techniques and partial least square regression for summer(Jun-Aug) precipitation on East China,using the data of 500 hPa height field on North Hemisphere during the period of 1951—2007.the prediction experiments are in progress using the prediction model,which has been built by the downscaling method,and the data of factors of the 500 hPa height field from the model output of CGCM.The results show that the 500 hPa height(factor) field of 40°E～180° on East Asia of North Hemisphere is the best downscaling area for the precipitation prediction.The predictability about the downscaling model is related with the number of the principal components extracted by partial least square regression.The better prediction effects using the downscaling model are made by the extracted component number of 4～7 and sample of 32～43.The results are also showed that the better predictability on the downscaling model using the factor field from the model output of CGCM is found." @default.
- W2364703786 created "2016-06-24" @default.
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- W2364703786 date "2010-01-01" @default.
- W2364703786 modified "2023-09-22" @default.
- W2364703786 title "A STUDY OF PREDICTABILITY FOR SUMMER PRECIPITATION ON EAST CHINA USING DOWNSCALING TECHNIQUES" @default.
- W2364703786 hasPublicationYear "2010" @default.
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