Targeted monitoring strategy based on variational data assimilation and decomposition of processes scales

被引：0
作者：
Penenko, Vladimir V. [1 ,2 ]
机构：
[1] Inst Computat Math & Math Geophys SB RAS, Novosibirsk 630090, Russia
[2] Novosibirsk State Univ, Novosibirsk 630090, Russia
来源：
22ND INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS | 2016年 / 10035卷
关键词：
mathematical modeling; targeted monitoring; adaptive strategy; decomposition of processes scales; variational principle; data assimilation;
D O I：
10.1117/12.2248868
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
We discuss an adaptive strategy of targeted monitoring for "real time" estimating the atmospheric situation as well as the air quality changes. To this goal, we develop some theoretical aspects related to mathematical modeling of investigated processes based on observations of their actual behavior fulfilled with monitoring tools. The concept of combined analysis of the solutions of direct and adjoint problems, sensitivity and uncertainty functions is described. We use the obtained information to detect the domains of the high-energy activity and increased uncertainty in the results of prognoses to place the additional mobile tools of observation in them and (or) to configure the remote sensing instruments.
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页数：5
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