Changes between Version 1 and Version 2 of ImplementAnalysisestkf
 Timestamp:
 Jan 22, 2012, 10:42:27 AM (9 years ago)
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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 = 2 2 3 3 {{{ … … 11 11 <li><a href="ImplementationofAnalysisStep">Implementation of the analysis step</a></li> 12 12 <ol> 13 <li> Implementation for SEIK</li>13 <li><a href="ImplementAnalysisseik">Implementation for SEIK</a></li> 14 14 <li><a href="ImplementAnalysislseik">Implementation for LSEIK</a></li> 15 15 <li><a href="ImplementAnalysisetkf">Implementation for ETKF</a></li> … … 17 17 <li><a href="ImplementAnalysisseek">Implementation for SEEK</a></li> 18 18 <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> 20 20 <li><a href="ImplementAnalysislestkf">Implementation for LESTKF</a></li> 21 21 </ol> … … 52 52 * [#U_init_obsinit_obs_pdaf.F90 U_init_obs]: The name of the usersupplied routine that initializes the vector of observations 53 53 * [#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 usersupplied 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 usersupplied 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. 55 55 * [#U_init_obsvarinit_obsvar_pdaf.F90 U_init_obsvar]: The name of the usersupplied routine that provides a mean observation error variance to PDAF (This routine will only be executed, if an adaptive forgetting factor is used) 56 56 * `status`: The integer status flag. It is zero, if `PDAF_put_state_estkf` is exited without errors. … … 136 136 The 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: 137 137 138 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.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. 139 139 140 140 The interface for this routine is … … 150 150 INTEGER, INTENT(in) :: dim_obs_p ! PElocal dimension of observation vector 151 151 REAL, INTENT(inout) :: state_p(dim_p) ! PElocal 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. 153 153 ! It can be used freely in this routine. 154 154 REAL, INTENT(inout) :: Uinv(dim_ens1, dim_ens1) ! Inverse of matrix U … … 164 164 * If a user considers to perform adjustments to the estimates (e.g. for balances), this routine is the right place for it. 165 165 * 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_ens1` x `dim_ens1` 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_ens1` x `dim_ens1` 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.) 167 167 168 168