Changes between Version 15 and Version 16 of AddFilterAlgorithm


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Timestamp:
Dec 4, 2011, 11:51:09 AM (12 years ago)
Author:
lnerger
Comment:

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  • AddFilterAlgorithm

    v15 v16  
    4444
    4545PDAF internally stores the dimensions of the assimilation system. The dimensions are declared in the Fortran module `PDAF_mod_filter`. Important are the following dimensions:
    46  * `dim_p`: The size of the state vector (with parallelization the size of the local state vector for the current process)
    47  * `dim_ens`: The total size of the ensemble
    48  * `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.)
    49  * `rank`: The maximum rank of the ensemble covariance matrix. In almost all cases, it is `dim_ens-1`.
    50  * `dim_eof`: For mode based filters (currently only SEEK), this is the number of modes used in the state covariance matrix.
     46|| `dim_p` || The size of the state vector (with parallelization the size of the local state vector for the current process) ||
     47|| `dim_ens` || The overall size of the ensemble ||
     48|| `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.)||
     49|| `rank` || The maximum rank of the ensemble covariance matrix. In almost all cases, it is `dim_ens-1`. ||
     50|| `dim_eof` || For mode based filters (currently only SEEK), this is the number of modes used in the state covariance matrix. ||
     51
    5152
    5253== Filter-specific routines ==