Changes between Version 1 and Version 2 of ImplementAnalysisestkf


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Timestamp:
Jan 22, 2012, 10:42:27 AM (7 years ago)
Author:
lnerger
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  • ImplementAnalysisestkf

    v1 v2  
    1 = Implementation of the Analysis step for the SEIK filter =
     1= Implementation of the Analysis step for the ESTKF =
    22
    33{{{
     
    1111<li><a href="ImplementationofAnalysisStep">Implementation of the analysis step</a></li>
    1212<ol>
    13 <li>Implementation for SEIK</li>
     13<li><a href="ImplementAnalysisseik">Implementation for SEIK</a></li>
    1414<li><a href="ImplementAnalysislseik">Implementation for LSEIK</a></li>
    1515<li><a href="ImplementAnalysisetkf">Implementation for ETKF</a></li>
     
    1717<li><a href="ImplementAnalysisseek">Implementation for SEEK</a></li>
    1818<li><a href="ImplementAnalysisenkf">Implementation for EnKF</a></li>
    19 <li><a href="ImplementAnalysisestkf">Implementation for ESTKF</a></li>
     19<li>Implementation for ESTKF</li>
    2020<li><a href="ImplementAnalysislestkf">Implementation for LESTKF</a></li>
    2121</ol>
     
    5252 * [#U_init_obsinit_obs_pdaf.F90 U_init_obs]: The name of the user-supplied routine that initializes the vector of observations
    5353 * [#U_prepoststepprepoststep_ens_pdaf.F90 U_prepoststep]: The name of the pre/poststep routine as in `PDAF_get_state`
    54  * [#U_prodRinvAprodrinva_pdaf.F90 U_prodRinvA]: The name of the user-supplied routine that computes the product of the inverse of the observation error covariance matrix with some matrix provided to the routine by PDAF. This operation occurs during the analysis step of the SEIK filter.
     54 * [#U_prodRinvAprodrinva_pdaf.F90 U_prodRinvA]: The name of the user-supplied routine that computes the product of the inverse of the observation error covariance matrix with some matrix provided to the routine by PDAF. This operation occurs during the analysis step of the SEIK, ETKF, and ESTKF algorithms.
    5555 * [#U_init_obsvarinit_obsvar_pdaf.F90 U_init_obsvar]: The name of the user-supplied routine that provides a mean observation error variance to PDAF (This routine will only be executed, if an adaptive forgetting factor is used)
    5656 * `status`: The integer status flag. It is zero, if `PDAF_put_state_estkf` is exited without errors.
     
    136136The routine has already been described on the [ModifyModelforEnsembleIntegration#U_prepoststepprepoststep_ens_pdaf.F90 page on modifying the model code for the ensemble integration]. For completeness, the description is repeated:
    137137
    138 The interface of the routine is identical for all filters. However, the particular operations that are performed in the routine can be specific for each filter algorithm. Here, we exemplify the interface on the example of the SEIK filter.
     138The interface of the routine is identical for all filters. However, the particular operations that are performed in the routine can be specific for each filter algorithm.
    139139
    140140The interface for this routine is
     
    150150  INTEGER, INTENT(in) :: dim_obs_p   ! PE-local dimension of observation vector
    151151  REAL, INTENT(inout) :: state_p(dim_p) ! PE-local forecast/analysis state
    152                                      ! The array 'state_p' is not generally not initialized in the case of SEIK/EnKF/ETKF.
     152                                     ! The array 'state_p' is not generally not initialized in the case of SEIK/EnKF/ETKF/ESTKF.
    153153                                     ! It can be used freely in this routine.
    154154  REAL, INTENT(inout) :: Uinv(dim_ens-1, dim_ens-1) ! Inverse of matrix U
     
    164164 * If a user considers to perform adjustments to the estimates (e.g. for balances), this routine is the right place for it.
    165165 * Only for the SEEK filter the state vector (`state_p`) is initialized. For all other filters, the array is allocated, but it can be used freely during the execution of `U_prepoststep`.
    166  * The interface has a difference for ETKF and SEIK: For the ETKF, the array `Uinv` has size `dim_ens` x `dim_ens`. In contrast it has size `dim_ens-1` x `dim_ens-1` for the SEIK filter. (For most cases, this will be irrelevant, because most usually the ensemble array `ens_p` is used for computations, rather than `Uinv`. However, for the SEIK filter with fixed covariance matrix, `Uinv` is required to compute the estimate analysis error. The fixed covariance matrix mode is not available for the ETKF)
     166 * The interface has a difference for ETKF and ESTKF: For the ETKF, the array `Uinv` has size `dim_ens` x `dim_ens`. In contrast it has size `dim_ens-1` x `dim_ens-1` for the ESTKF. (For most cases, this will be irrelevant, because most usually the ensemble array `ens_p` is used for computations, rather than `Uinv`. Only for the SEIK filter with fixed covariance matrix, `Uinv` is required to compute the estimate analysis error. The fixed covariance matrix mode is not available for the ETKF or ESTKF.)
    167167
    168168