Changes between Version 62 and Version 63 of ImplementAnalysislseik

Timestamp:

Jun 4, 2025, 10:45:32 AM (2 days ago)

Author:

lnerger

Comment:

--

ImplementAnalysislseik

@@ -43 +43 @@
 == Overview ==
 
-The localized SEIK filter (Nerger et al., 2005) is an efficient ensemble-based error-subspace filter. We generally recommend to avoid using it, since the ensemble representation can be suboptimal as was described by Nerger et al., 2012. We recommend to use instead the [wiki:ImplementAnalysisestkf LESTKF (local error subspace transform Kalman filter)] or [wiki:ImplementAnalysisletkf LESTKF (Local ensemble transform Kalman filter)].
+The localized SEIK filter (Nerger et al., 2005) is an efficient ensemble-based error-subspace filter. We generally recommend to avoid using it, since the ensemble representation can be suboptimal as was described by Nerger et al., 2012. We recommend to use instead the [wiki:ImplementAnalysislestkf LESTKF (local error subspace transform Kalman filter)] or [wiki:ImplementAnalysisletkf LESTKF (Local ensemble transform Kalman filter)].
 
 For the analysis step of the LSEIK filter, several operations related to the observations are needed. These operations are requested by PDAF by calling user-supplied routines. Intentionally, the operations are split into separate routines in order to keep the operations rather elementary as this procedure should simplify the implementation. The names of the required routines are specified in the call to the routine `PDAF_assimilate_lseik` (or `PDAF_put_state_lseik`) described below. With regard to the parallelization, all these routines (except `U_collect_state`, `U_distribute_state`, and zU_next_observation`) are executed by the filter processes (`filterpe=.true.`) only.