Variational data assimilation of airborne sensing profiles to the transport and transformation model of atmospheric chemistry

Alexey Penenko, Pavel Antokhin, Anastasia Grishina

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

Abstract

The variational data assimilation algorithm for the atmospheric chemistry transport and transformation model is applied to the airborne sensing profiles of chemical substances concentration. The data assimilation is performed quasiindependently on the separate stages of the splitting scheme. For the linear transport stage the direct algorithm is used. In the nonlinear transformation stage an iterative gradient-type one is applied. In the numerical experiment the realistic scenario of vertical ozone concentration profiles assimilation has been considered.

Original languageEnglish
Title of host publication23rd International Symposium on Atmospheric and Ocean Optics
Subtitle of host publicationAtmospheric Physics
EditorsGG Matvienko, OA Romanovskii
PublisherSPIE
Number of pages5
Volume10466
ISBN (Electronic)9781510614130
ISBN (Print)978-1-5106-1413-0
DOIs
Publication statusPublished - 1 Jan 2017
Event23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Russian Federation
Duration: 3 Jul 20177 Jul 2017

Publication series

NameProceedings of SPIE
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Volume10466
ISSN (Print)0277-786X

Conference

Conference23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Country/TerritoryRussian Federation
CityIrkutsk
Period03.07.201707.07.2017

Keywords

  • advectiondiffusion-reaction model
  • airborne sensing profiles
  • atmospheric chemistry
  • Data assimilation
  • splitting scheme
  • variational approach
  • advection-diffusion-reaction model
  • ALGORITHMS

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