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Study of Biascorrection Methods for Seasonal Rainfall Forecast over Vietnam
2018
VNU Journal of Science Earth and Environmental Sciences
Abstract: This study presents some results about biascorrectionseasonal rainfall forecast from the regional spectral model (RSM), following two methods are quantile-quantile with an approximate gamma function (QM-G), and Bayesian joint probability (BJP). RSM ran forecast for the period 1982-2014, with data input from global model CFS,and lead time up to five months. The results show that the BJP made the correlationbetween rainfall forecastand observation increased significantly, the
doi:10.25073/2588-1094/vnuees.4333
fatcat:s32fnkjkprb73b56edcw2t5dey