Changes between Version 15 and Version 16 of AddFilterAlgorithm

Timestamp:

Dec 4, 2011, 11:51:09 AM (13 years ago)

Author:

lnerger

Comment:

--

AddFilterAlgorithm

@@ -44 +44 @@
 
 PDAF internally stores the dimensions of the assimilation system. The dimensions are declared in the Fortran module `PDAF_mod_filter`. Important are the following dimensions:
- * `dim_p`: The size of the state vector (with parallelization the size of the local state vector for the current process)
- * `dim_ens`: The total size of the ensemble
- * `dim_ens_l`: If the ensemble integration is distributed over several ensemble tasks, this variable stores the size of the sub-ensemble handled by the current process. (`dim_ens_l` equals `dim_ens` if no parallelization or if only a single model task is used.)
- * `rank`: The maximum rank of the ensemble covariance matrix. In almost all cases, it is `dim_ens-1`.
- * `dim_eof`: For mode based filters (currently only SEEK), this is the number of modes used in the state covariance matrix.
+|| `dim_p` || The size of the state vector (with parallelization the size of the local state vector for the current process) ||
+|| `dim_ens` || The overall size of the ensemble ||
+|| `dim_ens_l` || If the ensemble integration is distributed over several ensemble tasks, this variable stores the size of the sub-ensemble handled by the current process. (`dim_ens_l` equals `dim_ens` if no parallelization or if only a single model task is used.)||
+|| `rank` || The maximum rank of the ensemble covariance matrix. In almost all cases, it is `dim_ens-1`. ||
+|| `dim_eof` || For mode based filters (currently only SEEK), this is the number of modes used in the state covariance matrix. ||
+
 
 == Filter-specific routines ==