Numerical study of emission sources identification algorithm with joint use of 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

Abstract

The algorithm for source identification and concentration field reconstruction problems for an atmospheric chemistry transport and transformation model is tested with combined in situ and remote sensing data. It is based on the ensembles of the adjoint problem solutions and the sensitivity operators. Novosibirsk city traffic emissions inverse modeling scenario is used to test the algorithm.

Original languageEnglish
Title of host publication26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics
EditorsGennadii G. Matvienko, Oleg A. Romanovskii
PublisherSPIE
ISBN (Electronic)9781510639416
DOIs
Publication statusPublished - 2020
Event26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020 - Moscow, Russian Federation
Duration: 6 Jul 202010 Jul 2020

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11560
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics 2020
CountryRussian Federation
CityMoscow
Period06.07.202010.07.2020

Keywords

  • Adjoint ensemble
  • Atmospheric chemistry
  • Continuation problem
  • In situ measurements
  • Novosibirsk city
  • Remote sensing data
  • Sensitivity operator
  • Source identification problem

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