大气科学2012，Vol.36Issue(1)：11-22,12.
华北汛期降水多因子相似订正方案与预报试验
Estimating the Prediction Errors of Dynamical Climate Model on the Basis of Prophase Key Factors in North China
摘要
Abstract
Based on the basic principle of dynamical analogue prediction, the authors have established the optimal dynamic multi-factor schemes to revise prediction errors. In this paper, the authors studied the correlations between the interactions of prophase key factors and the precipitation of rainy season in China and found the key atmospheric circulation predictor. According to the predictors which are abnormal in prophase, the authors compressed the dimensions of the factors to select the similar years through EOF analysis. Furthermore, a new dynamical analogue prediction scheme is constructed, which is based on the anomalous signals of prophase environment field. Analyses show that there is a good corresponding relationship between precipitation in North China and numbers of atmospheric circulation factors which are abnormal in prophase. The authors developed a comprehensive scheme to revise prediction errors of numerical model combined with the abnormal factors scheme and the optimal dynamic multi-fac-tor scheme. Through the diagnostic analysis, the authors found that the comprehensive scheme has a good adaptability. Results of independent sample return during 2003 - 2009 show that the anomaly correlation coefficient (ACC) score has increased from 0. 38 to 0. 61. The similarity revised method has further improved the prediction capacity of numerical model and has a good application prospect for summer precipitation in North China.关键词
汛期降水/异常因子/模式误差估计/预测Key words
summer precipitation/abnormal factors/estimation of model errors/prediction分类
天文与地球科学引用本文复制引用
杨杰,赵俊虎,郑志海,熊开国,沈柏竹..华北汛期降水多因子相似订正方案与预报试验[J].大气科学,2012,36(1):11-22,12.基金项目
国家自然科学基金资助项目41105055、40930952,全球变化重大研究计划2012CB955902和公益性行业(气象)科研专项GYHY201006016、GYHY201106015 （气象）
