Changes between Version 4 and Version 5 of U_localize_covar_serial


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Timestamp:
Mar 25, 2025, 7:52:22 PM (7 days ago)
Author:
lnerger
Comment:

--

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  • U_localize_covar_serial

    v4 v5  
    44
    55The routine `U_localize_covar_serial` is a call-back routine that has to be provided by the user. The typical name in the user code is `localize_covar_pdaf`, but the user can choose the name of the routine.
     6
    67The routine is used in the ENSRF/EAKF and is called during the analysis step. The purpose of the routine is to apply covariance localization to the vectors '''Hi P''' and '''Hi PH^T^''' for the assimilation of a single observation (determined by the index `iobs` related to the observation operator '''Hi'''). Here '''Hi PH^T^''' is the vector relating to the observed covariance matrix for the full observation vector. This vector is required for parallelization.
    78
     
    910{{{
    1011  SUBROUTINE U_localize_covar_serial(iobs, dim_p, dim_obs, HP_p, HXY_p)
     12
     13  INTEGER, INTENT(in) :: iobs                  ! Index of the assimilated single observation
     14  INTEGER, INTENT(in) :: dim_p                 ! Process-local state dimension
     15  INTEGER, INTENT(in) :: dim_obs_f             ! Number of full observations
     16  REAL, INTENT(inout) :: HP_p(dim_p)           ! Process-local part of matrix HP for observation iobs
     17  REAL, INTENT(inout) :: HXY_p(dim_obs_F)      ! Process-local part of matrix HX(HX_full) for full observations
    1118}}}
    12 with arguments:
    13 {{{
    14   INTEGER, INTENT(in) :: iobs                  !< Index of the assimilated single observation
    15   INTEGER, INTENT(in) :: dim_p                 !< Process-local state dimension
    16   INTEGER, INTENT(in) :: dim_obs_f             !< Number of full observations
    17   REAL, INTENT(inout) :: HP_p(dim_p)           !< Process-local part of matrix HP for observation iobs
    18   REAL, INTENT(inout) :: HXY_p(dim_obs_F)      !< Process-local part of matrix HX(HX_full) for full observations}}}
    1919
    20 Hints:
    21  * To compute the localization one can use the routine `PDAF_local_weight` after computing the distance between two elements in the vector '''Hi P''' or '''Hi PH^T'''.
     20**Hint:**
     21 * To compute the localization one can use the routine `PDAF_local_weight` after computing the distance between two elements in each of the vectors '''Hi P''' and '''Hi PH^T'''.