Numerical study of direct variational algorithm for assimilation of atmospheric chemistry data into transport and transformation model

Alexey Penenko, Pavel Antokhin

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

1 Citation (Scopus)

Abstract

The performance of variational data assimilation algorithm for in situ concentration measurements for transport and transformation model of atmospheric chemical composition is studied numerically in the case of indirect measurements. The algorithm is based on decomposition and splitting methods with direct solution of data assimilation problems for splitting stages. This design allows avoiding iterative processes and working in real-time. In the numerical experiments we study the sensitivity of data assimilation results to variations of measurement data quality and quantity.

Original languageEnglish
Title of host publication22nd International Symposium on Atmospheric and Ocean Optics
Subtitle of host publicationAtmospheric Physics
EditorsOleg A. Romanovskii, Gennadii G. Matvienko
PublisherSPIE
ISBN (Electronic)9781510605114
DOIs
Publication statusPublished - 2016
Event22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Russian Federation
Duration: 30 Jun 20163 Jul 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10035
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
CountryRussian Federation
CityTomsk
Period30.06.201603.07.2016

Keywords

  • Advection-diffusion-reaction model
  • Atmospheric chemistry
  • Indirect measurements
  • Splitting scheme
  • Variational data assimilation

OECD FOS+WOS

  • 1.05.QQ METEOROLOGY & ATMOSPHERIC SCIENCES
  • 1.03.SY OPTICS

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