摘要
根据大气相似性原理,提出了利用历史资料的相似信息估计模式误差的反问题,并发展了一种相似误差订正(ACE)方法。该方法将统计和动力两种方法有机结合,在不改变现有数值预报模式的前提下,既充分利用了动力学发展的成就,又能够有效提取大量历史资料中的相似信息,达到减小模式误差、改进当前预报的目的。而且,ACE方法能够针对当前预报的特殊性来区分所利用过去资料的特殊性,提取历史相似信息间接求解反问题。定性分析表明,ACE方法与以往相似-动力模式原理是等价的,但无需重新建立复杂的相似离差预报模式,更具可行性和业务应用前景。在理想化的极限情形下,当数值模式或历史相似完全准确时,ACE方法的预报结果将分别蜕变为动力或统计学方法的预报结果。
Based on the atmospheric analogy principle, the inverse problem that the information of historical analogue data is utilized to estimate model errors is put forward and a method of Analogue Correction of model Errors （ACE） is developed. The ACE can combine effectively both statistical and dynamical method together, and need not change the current numerical prediction models. The new method not only adequately utilizes dynamical achievements but also can reasonably extract the information of a lot of analogues in historical data in order to reduce model errors and improve forecast skill.
Furthermore, the ACE may identify specific historical data for the solution of the inverse problem in terms of the particularity of current forecast. The qualitative analyse show that, the ACE is theoretically equivalent to the previous analogue-dynamical model principle, but need not rebuild the complicated analogue-deviation model, so has better feasibility and operational foreground. Moreover, under the ideal situations, when numerical mod- els or historical analogues are perfect, the forecast of the ACE would transform into the forecast of dynamical or statistical method, respectively.
出处
《气象学报》
CAS
CSCD
北大核心
2005年第6期988-993,共6页
Acta Meteorologica Sinica
基金
国家自然科学基金项目(40233031和40375025)
关键词
统计-动力相结合
反问题
数值预报
相似误差订正法
Combination of statistical and dynamical method, Inverse problem, Numerical prediction,Analogue correction method of errors.
