A method for direct variational data assimilation from various observing systems

被引：0
|
作者：
Penenko, Vladimir V. [1 ]
机构：
[1] Inst Computat Math & Math Geophys SB RAS, Novosibirsk 630090, Russia
来源：
21ST INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS | 2015年 / 9680卷
关键词：
variational principle; data assimilation; models of processes; models of observations; INVERSE PROBLEMS;
D O I：
10.1117/12.2205886
中图分类号：
P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
A new method for the joint use of mathematical models and heterogeneous data from various monitoring systems for ground and space based assets, including the sequence of images, is presented. The method is based on variational principles with weak constraints. The algorithm for its implementation allows us to use images in the problems of prediction and reconstruction of multidimensional fields of the state functions.
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页数：6
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