Direct variational data assimilation algorithm for atmospheric chemistry data with transport and transformation model

Alexey Penenko, Vladimir Penenko, Roman Nuterman, Alexander Baklanov, Alexander Mahura

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

3 Citationer (Scopus)

Abstract

Atmospheric chemistry dynamics is studied with convection-diffusion-reaction model. The numerical Data Assimilation algorithm presented is based on the additive-Averaged splitting schemes. It carries out ''fine-grained'' variational data assimilation on the separate splitting stages with respect to spatial dimensions and processes i.e.The same measurement data is assimilated to different parts of the split model. This design has efficient implementation due to the direct data assimilation algorithms of the transport process along coordinate lines. Results of numerical experiments with chemical data assimilation algorithm of in situ concentration measurements on real data scenario have been presented. In order to construct the scenario, meteorological data has been taken from EnviroHIRLAM model output, initial conditions from MOZART model output and measurements from Airbase database.

OriginalsprogEngelsk
Titel21st International Symposium on Atmospheric and Ocean Optics : Atmospheric Physics
RedaktørerGennadii G. Matvienko, Oleg A. Romanovskii
ForlagSPIE
Publikationsdato2015
Artikelnummer968076
ISBN (Elektronisk)9781628419085
DOI
StatusUdgivet - 2015
Begivenhed21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Rusland
Varighed: 22 jun. 201526 jun. 2015

Konference

Konference21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
Land/OmrådeRusland
ByTomsk
Periode22/06/201526/06/2015
SponsorRussian Foundation for Basic Research, Siberian Branch of Russian Academy of Sciences
NavnProceedings of SPIE - The International Society for Optical Engineering
Vol/bind9680
ISSN0277-786X

Bibliografisk note

Publisher Copyright:
© 2015 SPIE.

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