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长江中下游汛期降水优化多因子组合客观定量化预测研究

王启光 封国林 郑志海 支蓉

大气科学2011,Vol.35Issue(2):287-297,11.
大气科学2011,Vol.35Issue(2):287-297,11.

长江中下游汛期降水优化多因子组合客观定量化预测研究

A Study of the Objective and Quantifiable Forecasting Based on Optimal Factors Combinations in Precipitation in the Middle and Lower Reaches of the Yangtze River in Summer

王启光 1封国林 2郑志海 3支蓉2

作者信息

  • 1. 兰州大学大气科学学院,兰州,730000
  • 2. 国家气候中心气候研究开放实验室,北京,100081
  • 3. 中国科学院大气物理研究所东亚区域气候-环境重点实验室,北京,100029
  • 折叠

摘要

Abstract

A new approach to improve precipitation in the Yangtze River in summer by using the useful historical data is suggested. The outcomes of the model can be improved by determining the years in which there are similar prediction error fields of precipitation based on 74 circulation characteristic indexes of Weather Diagnostic Forecasting Room of National Climate Center and 40 climate indexes of NOAA, and then the fields are integrated to revise the output errors of the model. The results show that the revised errors using the above method are better than system ones. On the basis of the above conclusions, the objective and quantifiable forecasting (OQF) technique can be established. The steps are selecting pre-factors, determining optimal factor combinations (OFC) of the analogy forecasting error fields, and using the method of weighted average integration. It shows that the technique of OQF based on OFC has a better prediction skill to the regression results of independent samples between 2003 and 2009. Finally, the anomaly correlation coefficient (ACC) of historical data in the error field is analyzed. It is found that the determining of the analogy error field in different years can be improved more, and the possible way to improve is to be discussed.

关键词

客观定量化预测/优化多因子组合/长江中下游汛期降水/模式预报误差

Key words

objective and quantifiable forecasting/optimal factors combinations/the precipitation in the middle and lower reaches of the Yangtze River in summer/ the error of model forecast

分类

天文与地球科学

引用本文复制引用

王启光,封国林,郑志海,支蓉..长江中下游汛期降水优化多因子组合客观定量化预测研究[J].大气科学,2011,35(2):287-297,11.

基金项目

公益性行业科研专项GYHY200806005,GYHY201106016,国家自然科学基金资助项目40875040、40930952、41005041、国家科技支撑计划2007BAC29B01,2009BAC51B04 ()

大气科学

OA北大核心CSCDCSTPCD

1006-9895

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