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

A. V. Penenko, A. V. Gochakov, P. N. Antokhin

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication25th International Symposium on Atmospheric and Ocean Optics
Subtitle of host publicationAtmospheric Physics
EditorsGennadii G. Matvienko, Oleg A. Romanovskii
PublisherSPIE
Number of pages6
ISBN (Electronic)9781510631687
DOIs
Publication statusPublished - 18 Dec 2019
Event25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics 2019 - Novosibirsk, Russian Federation
Duration: 30 Jun 20195 Jul 2019

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11208
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference25th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics 2019
CountryRussian Federation
CityNovosibirsk
Period30.06.201905.07.2019

Keywords

  • adjoint ensemble
  • atmospheric chemistry
  • in situ measurements
  • inverse source problem
  • Novosibirsk city
  • remote sensing data

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