Changes between Version 1 and Version 2 of Implement3DVarAnalysisPDAF3_Hyb3DVar


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Timestamp:
May 26, 2025, 4:47:15 PM (6 days ago)
Author:
lnerger
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  • Implement3DVarAnalysisPDAF3_Hyb3DVar

    v1 v2  
    4242The different 3D-Var methods in PDAF were explained on the [wiki:Implement3DVarAnalysisOverview 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.
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    44 For completeness we discuss here all user-supplied routines that are specified in the interface to `PDAFomi_assimilate_hyb3dvar_X`. Thus, some of the user-supplied routines that are explained on the page describing the modification of the model code for the ensemble integration are repeated here.
     44For completeness we discuss here all user-supplied routines that are specified in the interface to `PDAF3_assimilate_hyb3dvar_X`. Thus, some of the user-supplied routines that are explained on the page describing the modification of the model code for the ensemble integration are repeated here.
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