| 53 | | 1. `init_dim_obs` initializes all variables holding the information about one observation type. The information about the observation type is stored in a data structure (Fortran |
| 54 | | 1. `obs_op` applies the observation operator to a state vector. For the latter routine one can select an observation operator from the list of operators provided by OMI, or one can to implement a new operator. |
| 55 | | 1. `init_dim_obs_l` calls a PDAF-OMI routine to initialize the observation information corresponding to a local analysis domain. Here for can set a different localization radius for each observation type. |
| 56 | | 1. `localize_covar` calls a PDAF-OMI routine to apply covariance localization. |
| | 53 | 1. `init_dim_obs` initializes all variables holding the information about one observation type. The information about the observation type is stored in a data structure (Fortran derived type). |
| | 54 | 1. `obs_op` applies the observation operator to a state vector. One can call an observation operator routine provided by PDAF, or one can to implement a new operator. |
| | 55 | 1. `init_dim_obs_l` calls a PDAF-OMI routine to initialize the observation information corresponding to a local analysis domain. One can set localization parameters, liek the localization radius, for each observation type. |
| | 56 | 1. `localize_covar` calls a PDAF-OMI routine to apply covariance localization. One can set localization parameters, liek the localization radius, for each observation type. |
| 58 | | For each observation type, PDAF-OMI uses a data structure that was initialized in the obs-module. The set of routines in `callback_obs_pdafomi.F90` provide the observation handling for all filters and smoothers provided by PDAF. Thus once, the routines are implemented for a particular observation and the subroutine calls in `callback_obs_pdafomi.F90` for this observation type are inserted, one can use each of the provided assimilation methods. Here `init_dim_obs_l` is only required if one plans to use domain-localized filters like LESTKF, LETKF or LNETF. Likewise, `localize_covar` is only required if on likes to use the loalized EnKF (LEnKF). |
| | 58 | For each observation type, PDAF-OMI uses a data structure that was initialized in the obs-module. The set of routines in `callback_obs_pdafomi.F90` provide the observation handling for all filters and smoothers provided by PDAF. Thus, once the routines are implemented for a particular observation and the subroutine calls in `callback_obs_pdafomi.F90` for this observation type are inserted, one can use each of the provided assimilation methods. Here `init_dim_obs_l` is only required if one plans to use domain-localized filters like LESTKF, LETKF or LNETF. Likewise, `localize_covar` is only required if on likes to use the loalized EnKF (LEnKF). |
