Changes between Version 9 and Version 10 of Implement3DVarAnalysisPDAF3_3DVar

Timestamp:

Jun 10, 2025, 4:39:32 PM (7 days ago)

Author:

lnerger

Comment:

--

Implement3DVarAnalysisPDAF3_3DVar

@@ -37 +37 @@
 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. 
 
-For the analysis step of 3D-Var we need different operations related to the observations. These operations are requested by PDAF by call-back routines supplied by the user and provided in the PDAF-OMI structure.  in the call to the assimilation routines as was examplained on the [wiki:Implement3DVarAnalysisOverviewPDAF3 page providing the verview of the Analysis Step for 3D-Var Methods].
+For the analysis step of 3D-Var we need different operations related to the observations. These operations are requested by PDAF by call-back routines supplied by the user and provided in the PDAF-OMI structure.  in the call to the assimilation routines as was examplained on the [wiki:Implement3DVarAnalysisOverviewPDAF3 page providing the overview of the Analysis Step for 3D-Var Methods].
 
 For completeness we discuss here all user-supplied routines that are specified as arguments. Thus, some of the user-supplied routines, which were explained on the page describing the modification of the model code for the ensemble integration, are repeated here.