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气象:2013,39(9):1217-1220
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应用MJO制作长江流域月降水预测的试验研究
(1.武汉区域气候中心,武汉 430074;2.武汉大学测绘遥感信息工程国家重点实验室,武汉430079)
Research on Forecasting Monthly Rainfall over the Yangtze River Valley Using Madden Julian Oscillation
(1.Wuhan Regional Climate Centre, Wuhan 430074;2.The State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079)
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投稿时间:2012-12-14    修订日期:2013-04-15
中文摘要: 用MJO指数RMM1、RMM2、振幅 1—25日平均代替月平均,用上月月平均RMM1和RMM2、振幅构造为右场,下月长江流域降水场为左场,SVD分析两场的关联,借助最优化技术,在降水场预测距平与实况距平同号总站数最大意义下确定系数,建立估计公式,由右场时间系数估计左场时间系数,最后反演降水场。尽管多数的月第一模态相关并不显著,但实际预测效果较好。
Abstract:RMM1, RMM2 and amplitude averaged from 1 to 25th are used to take the place of the average monthly. Right field consists of RMM1, RMM2 and amplitude of the preceding month, and left field consists of monthly rainfall over the Yangtze River Valley. The relationships between the two fields are studied by SVD. With optimization technique the time coefficients of the left field are estimated on the basis of the time coefficient of the right field according to the total number of stations which have the same sign between estimated anomaly and observed anomaly. Rainfall fields are retrieved by linear combination of the time coefficients and the vectors. Even though few of first models of SVD are above the significant level, the actual predictions achieve good results.
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基金项目:中国长江电力股份有限公司“长江流域中长期气象预报方法研究”、“关键期天气气候特征分析和预报方法研究”、中国气象局2013年小型基建项目“极端天气气候事件监测预测业务平台建设(二期)”、武汉区域气象中心科技发展基金项目
引用文本:
张礼平,张乐飞,2013.应用MJO制作长江流域月降水预测的试验研究[J].气象,39(9):1217-1220.
ZHANG Liping,ZHANG Lefei,2013.Research on Forecasting Monthly Rainfall over the Yangtze River Valley Using Madden Julian Oscillation[J].Meteor Mon,39(9):1217-1220.