Changes between Version 1 and Version 2 of PDAFomi_diag_get_ivar


Ignore:
Timestamp:
Mar 26, 2025, 4:39:31 PM (7 months ago)
Author:
lnerger
Comment:

--

Legend:

Unmodified
Added
Removed
Modified

  • PDAFomi_diag_get_ivar

    v1 v2  
    11= PDAFomi_diag_get_ivar =
    22
    3 This page documents the routine `PDAFomi_diag_get_ivar` of PDAF, which was introduced with PDAF V3.0. This is part of the PDAF-OMI observation diagnostics module.
     3This page documents the routine `PDAFomi_diag_get_ivar` of PDAF, which was introduced with PDAF V3.0. This is part of the [wiki:PDAFomi_observation_diagnostics PDAF-OMI observation diagnostics module].
    44
    5 The routine returns a pointer to a vector of the inverse observatino error variances for the specified observation type (`id_obs`).
     5The routine returns a pointer to a vector of the inverse observation error variances for the specified observation type (`id_obs`).
    66
    77Usually all PDAFomi_diag routines are called in `prepoststep_pdaf` where the observation information can be retrieved and analyzed.
    88
    9 The interface is the following:
     9The interface is:
    1010{{{
    1111  SUBROUTINE PDAFomi_diag_get_ivar(id_obs, dim_obs_p_diag, ivar_p_ptr)
    12 }}}
    13 with the following arguments:
    14 {{{
    15     INTEGER, INTENT(in) :: id_obs                    !< Index of observation type to return
    16     INTEGER, INTENT(out) :: dim_obs_p_diag           !< Observation dimension
    17     REAL, POINTER, INTENT(out) :: ivar_p_ptr(:)      !< Pointer to inverse observation error variances
     12
     13    INTEGER, INTENT(in)  :: id_obs                   ! Index of observation type to return
     14    INTEGER, INTENT(out) :: dim_obs_p_diag           ! Observation dimension
     15    REAL, POINTER, INTENT(out) :: ivar_p_ptr(:)      ! Pointer to inverse observation error variances
    1816}}}
    1917
    2018**Notes:**
    21  * In case of a parallelized model, the vector `ivar_p_prt contains the observed ensemble mean for the process-sub-domain
    22  * In Fortran user code the obsevation pointer should be declared in the form[[BR]] `REAL, POINTER :: ivar_p_ptr(:)`[[BR]] It does not need to be allocated. The target vector has the length `dim_obs_p_diag`
    23  * If the observation diagnostics have not be activated by using [wiki:PDAFomi_set_obs_diag] the pointer will not be set and `dim_obs_diag=0` will be returned. This value can be checked before assessing the pointer array
    24  * If the feature `thisobs%inno_omit` is used (see [wiki:PDAFomi_additional_functionality], the inverse variance of the omitted observations will show the small value set by `inno_omit`. One can use this information to exclude such observations when analyzing differences between observations and observed ensemble.
     19 * In case of a parallelized model, the vector `ivar_p_prt` contains the observed ensemble mean for the process-sub-domain
     20 * In Fortran user code the pointer to the vector of inverse observation variances should be declared in the form[[BR]] `REAL, POINTER :: ivar_p_ptr(:)`[[BR]] It does not need to be allocated. The target vector has the length `dim_obs_p_diag`.
     21 * If the observation diagnostics have not be activated by using [wiki:PDAFomi_set_obs_diag] the pointer will not be set and `dim_obs_diag=0` will be returned. This value can be checked before assessing the pointer array.
     22 * If the feature `thisobs%inno_omit` is used (see [wiki:PDAFomi_additional_functionality]), the inverse variance of the omitted observations will show the small value set by `inno_omit`. One can use this information to exclude such observations when analyzing differences between observations and observed ensemble.
    2523
    2624