• Login
     
    View Item 
    •   ORFEO Home
    • Royal Belgian Institute for Space Aeronomy
    • BIRA-IASB publications
    • View Item
    •   ORFEO Home
    • Royal Belgian Institute for Space Aeronomy
    • BIRA-IASB publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Coupled Stratospheric Chemistry-Meteorology Data Assimilation. Part II: Weak and Strong Coupling

    Thumbnail
    View/Open
    Menard(2019a).pdf (3.839Mb)
    Authors
    Ménard, R.
    Gauthier, P.
    Rochon, Y.
    Robichaud, A.
    de Grandpré, J.
    Yang, Y.
    Charrette, C.
    Chabrillat, S.
    Show allShow less
    Discipline
    Earth and related Environmental sciences
    Subject
    coupled chemistry-meteorology data assimilation
    weak and strong data assimilation coupling
    Canadian Quick Covariance method (CQC)
    assimilation of MIPAS temperature observations
    ozone-temperature cross-covariance
    tracer-wind 4D-Var assimilation
    Audience
    Scientific
    Date
    2019
    Metadata
    Show full item record
    Description
    We examine data assimilation coupling between meteorology and chemistry in the stratosphere from both weak and strong coupling strategies. The study was performed with the Canadian operational weather prediction Global Environmental Multiscale (GEM) model coupled online with the photochemical stratospheric chemistry model developed at the Belgian Institute for Space Aeronomy, described in Part I. Here, the Canadian Meteorological Centre’s operational variational assimilation system was extended to include errors of chemical variables and cross-covariances between meteorological and chemical variables in a 3D-Var configuration, and we added the adjoint of tracer advection in the 4D-Var configuration. Our results show that the assimilation of limb sounding observations from the MIPAS instrument on board Envisat can be used to anchor the AMSU-A radiance bias correction scheme. Additionally, the added value of limb sounding temperature observations on meteorology and transport is shown to be significant. Weak coupling data assimilation with ozone–radiation interaction is shown to give comparable results on meteorology whether a simplified linearized or comprehensive ozone chemistry scheme is used. Strong coupling data assimilation, using static error cross-covariances between ozone and temperature in a 3D-Var context, produced inconclusive results with the approximations we used. We have also conducted the assimilation of long-lived species observations using 4D-Var to infer winds. Our results showed the added value of assimilating several long-lived species, and an improvement in the zonal wind in the Tropics within the troposphere and lower stratosphere. 4D-Var assimilation also induced a correction of zonal wind in the surf zone and a temperature bias in the lower tropical stratosphere.
    Citation
    Ménard, R.; Gauthier, P.; Rochon, Y.; Robichaud, A.; de Grandpré, J.; Yang, Y.; Charrette, C.; Chabrillat, S. (2019). Coupled Stratospheric Chemistry-Meteorology Data Assimilation. Part II: Weak and Strong Coupling. , Atmosphere, Vol. 10, Issue 12, A798, DOI: 10.3390/atmos10120798.
    Identifiers
    uri: https://orfeo.belnet.be/handle/internal/7409
    doi: http://dx.doi.org/10.3390/atmos10120798
    Type
    Article
    Peer-Review
    Yes
    Language
    eng
    Links
    NewsHelpdeskBELSPO OA Policy

    Browse

    All of ORFEOCommunities & CollectionsBy Issue DateAuthorsTitlesDisciplinesThis CollectionBy Issue DateAuthorsTitlesDisciplines
     

    DSpace software copyright © 2002-2016  DuraSpace
    Send Feedback | Cookie Information
    Theme by 
    Atmire NV