Changes between Version 11 and Version 12 of Implement3DVarAnalysisPDAF3_Hyb3DVar


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Timestamp:
Jun 10, 2025, 4:41:01 PM (7 days ago)
Author:
lnerger
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  • Implement3DVarAnalysisPDAF3_Hyb3DVar

    v11 v12  
    2424</ol>
    2525<li><a href="nondiagonal_observation_error_covariance_matrices_PDAF3">Using nondiagonal R-matrices</a></li>
    26 <li><a href="PDAF_OMI_Overview_PDAF3">PDAF-OMI Overview</a></li>
     26<li><a href="PDAF_OMI_Overview_PDAF3">Observation handling with PDAF-OMI</a></li>
    2727</ol>
    2828</div>
    … …  
    3838|| The interface for hybrid 3D-Var using the localized LESTKF for the transformation is the [wiki:Implement3DVarAnalysisPDAF3Universal universal interface]. If one intends to implement particularly for the variant using the global filter ESTKF, there is a separate interface for this special case. ||
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    40 The different 3D-Var methods in PDAF were explained on the [wiki:Implement3DVarAnalysisOverviewPDAF3 page providing the verview of the Analysis Step for 3D-Var Methods]. Depending the type of 3D-Var, the background covariance matrix '''B''' is represented either in a parameterized form, by an ensemble, or by a combination of both. The 3D-Var methods that use an ensemble need to transform the ensemble perturbations using an ensemble Kalman filter. PDAF uses for this the error-subspace transform filter ESTKF. There are two variants: The first uses the localized filter LESTKF, while the second uses the global filter ESTKF.
     40The different 3D-Var methods in PDAF were explained on the [wiki:Implement3DVarAnalysisOverviewPDAF3 page providing the overview of the Analysis Step for 3D-Var Methods]. Depending the type of 3D-Var, the background covariance matrix '''B''' is represented either in a parameterized form, by an ensemble, or by a combination of both. The 3D-Var methods that use an ensemble need to transform the ensemble perturbations using an ensemble Kalman filter. PDAF uses for this the error-subspace transform filter ESTKF. There are two variants: The first uses the localized filter LESTKF, while the second uses the global filter ESTKF.
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