Assessing the Seasonal Predictability of Summer Precipitation over the Huaihe River Basin with Multiple APCC Models  

作　　者：TANG Wei LIN Zhao-Hui LUO Li-Feng 

机构地区：[1]International Center for Climate and Environment Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences [2]University of Chinese Academy of Sciences [3]Department of Geography,Michigan State University

出　　处：《Atmospheric and Oceanic Science Letters》2013年第4期185-190,共6页大气和海洋科学快报（英文版）

基　　金：supported by the National Natural Science Foundation of China (41175073);the National Science Foundation of China (NSFC)-Yunnan Province Joint Grant (U1133603);the National Basic Research Program of China (2010CB428403 and 2009CB421406);the NOAA Climate Program Office and Michigan State University (NA10OAR4310246 and NA12OAR 4310081)

摘　　要：Seasonal rainfall predictability over the Huaihe River basin is evaluated in this paper on the basis of 23-year(1981-2003) retrospective forecasts by 10 climate models from the Asia-Pacific Economic Cooperation(APEC) Climate Center(APCC) multi-model ensemble(MME) prediction system.It is found that the summer rainfall variance in this basin is largely internal,which leads to lower rainfall predictability for most individual climate models.By dividing the 10 models into three categories according to their sea surface temperature(SST) boundary conditions including observed,predicted,and persistent SSTs,the MME deterministic predictive skill of summer rainfall over Huaihe River basin is investigated.It is shown that the MME is effective for increasing the current seasonal forecast skill.Further analysis shows that the MME averaged over predicted SST models has the highest rainfall prediction skill,which is closely related to model's capability in reproducing the observed dominant modes of the summer rainfall anomalies in Huaihe River basin.This result can be further ascribed to the fact that the predicted SST MME is the most effective model ensemble for capturing the relationship between the summer rainfall anomalies over Huaihe River basin and the SST anomalies(SSTAs) in equatorial oceans.Seasonal rainfall predictability over the Huaihe River basin is evaluated in this paper on the basis of 23-year （1981-2003） retrospective forecasts by 10 climate models from the Asia-Pacific Economic Cooperation （APEC） Climate Center （APCC） multi-model ensemble （MME） prediction system. It is found that the summer rainfall variance in this basin is largely internal, which leads to lower rainfall predictability for most individual climate models. By dividing the 10 models into three categories according to their sea surface temperature （SST） boundary conditions including observed, predicted, and persistent SSTs, the MME deterministic predictive skill of summer rainfall over Huaihe River basin is investigated. It is shown that the MME is effective for increasing the current seasonal forecast skill. Further analysis shows that the MME averaged over predicted SST models has the highest rainfall prediction skill, which is closely related to model＇s capability in reproducing the observed dominant modes of the summer rainfall anomalies in Huaihe River basin. This result can be further ascribed to the fact that the predicted SST MME is the most effective model ensemble for capturing the relationship between the summer rainfall anomalies over Huaihe River basin and the SST anomalies （SSTAs） in equatorial oceans.

关 键 词：seasonal forecast multi-model ensemble predictive skill Huaihe River basin 

分 类 号：P426.6[天文地球—大气科学及气象学]