Numerical study of an algorithm for air pollution sources identification with in situ and remote sensing measurement data

被引：1
|
作者：
Penenko, A. V. [1 ,2 ]
Gochakov, A. V. [3 ]
Antokhin, P. N. [4 ]
机构：
[1] RAS, SB, ICM&MG, Inst Computat Math & Math Geophys, Prospekt Akad Lavrentjeva 6, Novosibirsk 630090, Russia
[2] NSU, Pirogova Str 2, Novosibirsk 630090, Russia
[3] Siberian Reg Sci Res Hydrometeorol Inst, Sovetskaya St 30, Novosibirsk 630099, Russia
[4] Russian Acad Sci, Siberian Branch, VE Zuev Inst Atmospher Opt, 1 Acad Zuev Sq, Tomsk 634021, Russia
来源：
25TH INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS | 2019年 / 11208卷
基金：
俄罗斯基础研究基金会;
关键词：
inverse source problem; atmospheric chemistry; remote sensing data; in situ measurements; Novosibirsk city; adjoint ensemble;
D O I：
10.1117/12.2540901
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
The results of the inverse source problem solution for an atmospheric chemistry transport and transformation model for in situ and remote sensing measurement data are compared. The algorithm based on the ensembles of the adjoint problem solutions is applied to solve the inverse problem. The solutions are compared in the Novosibirsk city inverse modeling scenario.
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收藏
页数：6
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