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Assimilation of Satellite-Retrieved Columns and Ground-Level Observations of Tropospheric Compounds into the CMAQ CTM Model

  1. 1.
    SYSNO ASEP0330127
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleAssimilation of Satellite-Retrieved Columns and Ground-Level Observations of Tropospheric Compounds into the CMAQ CTM Model
    TitleAsimilace satelitních troposférických sloupců a přízemních pozorování do CTM modelu CMAQ
    Author(s) Resler, Jaroslav (UIVT-O) SAI, RID, ORCID
    Eben, Kryštof (UIVT-O) SAI, RID, ORCID
    Juruš, Pavel (UIVT-O) SAI, RID
    Krč, Pavel (UIVT-O) SAI, RID, ORCID
    Source TitleAir Quality - Science and Application. - Hatfield : University of Hertfordshire, 2009 / Francis X.V. ; Khaiwal R. ; Chemel C. ; Newbold J. ; Incecik S. ; Kahya C. ; Sokhi R.S. - ISBN 978-1-905313-64-8
    Pagess. 1-4
    Number of pages4 s.
    Publication formCD-ROM - CD-ROM
    ActionAir Quality - Science and Application. International Conference /7./
    Event date23.03.2009-27.03.2009
    VEvent locationIstanbul
    CountryTR - Turkey
    Event typeWRD
    Languageeng - English
    CountryGB - United Kingdom
    Keywords4DVar ; data assimilation ; inverse modelling ; emission ; CMAQ adjoint ; tropospheric column ; NO2 ; ozone ; satellite instruments ; GOME2 ; OMI
    Subject RIVIN - Informatics, Computer Science
    R&D Projects1ET400300414 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    SP/1A4/107/07 GA MŽP - Ministry of Environment (MŽP)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    AnnotationTropospheric columns of various species retrieved from satellite instruments bring a new quality into data assimilation systems for air quality models. In our experiments we assimilate tropospheric columns of NO2 retrieved from the instruments GOME2 and OMI together with ground-level observations of NO2. The 4DVar method has been used to optimize both initial conditions and suitable parameters of the emission model. A forecast experiment has been performed and the contribution of data assimilation to the one-day-ahead forecast has been studied.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2010
Number of the records: 1  

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