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The Development of a Statistical Forecast Model for Changma
Weather and forecasting
Forecasting year-to-year variations in East Asian summer monsoon (EASM) precipitation is one of the most challenging tasks in climate prediction because the predictors are not sufficiently well known and the forecast skill of the numerical models is poor. In this paper, a statistical forecast model for changma (the Korean portion of the EASM system) precipitation is proposed that was constructed with three physically based predictors. A forward-stepwise regression was used to select thedoi:10.1175/waf-d-13-00003.1 fatcat:ai2wmw7q3bdbnjizyggwaufmxy