###
气象:2015,41(8):997-1006
本文二维码信息
码上扫一扫!
理解大气资料同化的内在逻辑和若干共性特征
(国家气象中心,北京 100081)
Interpretation of Several Basic Aspects of Atmospheric Data Assimilation
(National Meteorological Centre, Beijing 100081)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1393次   下载 2800
投稿时间:2015-03-24    修订日期:2015-03-26
中文摘要: 大气资料同化已发展成为基于估计理论的一门学科。本文试图梳理资料同化学科内容从“性质上分析同化问题是什么”到“过程上资料同化如何实施”再到“结果上分析场有着什么内在要求”这一内在逻辑,相应地综合阐述“逆问题求解和所需要的先验信息”、“观测信息的输入及其权重与传播平滑”和“同化结果的准确性和协调性”等资料同化作为一门学科的这些基本方面;以期这一逐步递进的逻辑及其基本方面有益于对资料同化在条理脉络上的一个整体理解。此外,着重于具体同化方法中的一些等价性和共性特征,本文梳理和归纳了“变分方法分别与最优插值方法之间和与扩展卡尔曼滤波方法之间的等价性”、“同化方法中数学的主要作用”,以及“同化方法中要应用综合学科知识”和“业务同化系统实施中要做好系统工程”等内容;以期这些内容增加对资料同化方法及同化系统研发的理解和思考。
Abstract:This article tries to summarize and synthetically remark several basic aspects and common inherent characteristics of atmospheric data assimilation. Such a logic line is highlighted from “what’s data assimilation problem”, to “how is data assimilated”, and to “what are the inherent requirements for the resulting analysis”. The logic correspondingly involves “inverse problem and a priori information”, “input, weight, propagation and smoothing of observation information”, and “requirements of accuracy and consistency for the analysis”. Also, we lay emphasis on some common inherent characteristics, including “equivalences between variational method and optimal interpolation method and between four dimensional variational method and extended Kalman filter method”, “the dominant role of mathematics in assimilation methods”, “multidisciplinary knowledge connotated in assimilation methods” and “system engineering required in operational assimilation systems”.
文章编号:     中图分类号:    文献标志码:
基金项目:国家自然科学基金面上项目(41175034)和公益性行业(气象)科研专项(GYHY201206007)共同资助
引用文本:
朱国富,2015.理解大气资料同化的内在逻辑和若干共性特征[J].气象,41(8):997-1006.
ZHU Guofu,2015.Interpretation of Several Basic Aspects of Atmospheric Data Assimilation[J].Meteor Mon,41(8):997-1006.