Changes between Version 21 and Version 22 of OMI_observation_operators


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Timestamp:
Dec 18, 2021, 1:57:06 PM (2 years ago)
Author:
lnerger
Comment:

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  • OMI_observation_operators

    v21 v22  
    159159The arguments of the observation operators are
    160160{{{
    161        CALL PDAFomi_obs_op_X (thisobs,[nrows,] state_p, ostate)
     161  CALL PDAFomi_obs_op_adj_X (thisobs,[nrows,] state_p, ostate)
     162
     163     TYPE(obs_f), INTENT(inout) :: thisobs  ! Data type with full observation
     164     INTEGER, INTENT(in) :: nrows           ! Number of values to be averaged
     165     REAL, INTENT(in)    :: obs_f_all(:)    ! Full observed state for all observation types (array provided by PDAF)
     166     REAL, INTENT(inout) :: state_p(:)      ! Process-local model state (provided by PDAF)
    162167}}}
    163168Where `thisobs` is the observation type variable, `ostate` is the input vector in the observation space provided by PDAF and `state_p` is the output state vector that will be returned to PDAF. `nrows` only exists for the observation operators X=gridavg and X=interp_lin and specifies the number of grid points involved in the observation operation. For X=gridpoint, this argument does not exist.
     
    168173The current set of observation operators provided by PDAF-OMI is rather fundamental. However, there are also observation types which are not variables of state vector, but functions of several values. Likewise one might want to use a more sophisticated interpolation than the linear one or some interpolation that treats the horizontal and vertical directions separately. For these cases you can implement you own operators.
    169174
    170 || The template observation operator in '''/template/omi/ob_op_pdafomi_TEMPLATE.F90''' can be used as the basis for the implementation. It describes the steps needs in the implementation. ||
     175|| The '''template observation operator''' in `/template/omi/ob_op_pdafomi_TEMPLATE.F90` can be used as the basis for the implementation. It describes the steps needs in the implementation. ||
    171176
    172177Each observation operator include the following functionality: