PDAF_put_state_lestkf

This page documents the routine PDAF_put_state_lestkf of PDAF.

The routine is typically called in assimilate_pdaf or directly in the model code.

The routines PDAF_put_state_* are used with the 'flexible' implementation variant of PDAF. The general aspects of the filter specific routines PDAF_put_state_* are described on the page Modification of the model code for the ensemble integration and its sub-page on inserting the analysis step. For the 'fully parallel' implementation variant the alternative routines PDAF_assimilate_* are used.

The interface when using the LESTKF is the following:

  SUBROUTINE PDAF_put_state_lestkf(U_collect_state, U_init_dim_obs_f, U_obs_op_f, U_init_obs_f, &
                                  U_init_obs_l, U_prepoststep, U_prodRinvA_l, U_init_n_domains, &
                                  U_init_dim_l, U_init_dim_obs_l, &
                                  U_g2l_state, U_l2g_state, U_g2l_obs, &
                                  U_init_obsvar, U_init_obsvar_l, status_pdaf)

with the following arguments:

• U_collect_state: The name of the user-supplied routine that initializes a state vector from the array holding the ensemble of model states from the model fields. This is basically the inverse operation to U_distribute_state used in PDAF_get_state.
• U_init_dim_obs_f: The name of the user-supplied routine that provides the size of the full observation vector
• U_obs_op_f: The name of the user-supplied routine that acts as the full observation operator on some state vector
• U_init_obs_f: The name of the user-supplied routine that initializes the full vector of observations
• U_init_obs_l: The name of the user-supplied routine that initializes the vector of observations for a local analysis domain
• U_prepoststep: The name of the pre/poststep routine as in PDAF_get_state
• U_prodRinvA_l: The name of the user-supplied routine that computes the product of the inverse of the observation error covariance matrix with some matrix provided to the routine by PDAF.
• U_init_n_domains: The name of the routine that provides the number of local analysis domains
• U_init_dim_l: The name of the routine that provides the state dimension for a local analysis domain
• U_init_dim_obs_l: The name of the routine that initializes the size of the observation vector for a local analysis domain
• U_g2l_state: The name of the routine that initializes a local state vector from the global state vector
• U_l2g_state: The name of the routine that initializes the corresponding part of the global state vector from the the provided local state vector
• U_g2l_obs: The name of the routine that initializes a local observation vector from a full observation vector
• U_init_obsvar: The name of the user-supplied routine that provides a global mean observation error variance (This routine will only be executed, if an adaptive forgetting factor is used)
• U_init_obsvar_l: The name of the user-supplied routine that provides a mean observation error variance for the local analysis domain (This routine will only be executed, if a local adaptive forgetting factor is used)
• status_pdaf: The integer status flag. It is zero, if PDAF_put_state_lestkf is exited without errors.

Note:

• The order of the routine names does not show the order in which these routines are executed. See the section on the order of the execution on the page on implementing the analysis step of the LESTKF algorithm.

The user-supplied call-back routines are described on the page on implementing the analysis step of the LESTKF algorithm.

It is recommended that the value of status_pdaf is checked in the program after PDAF_put_state_lestkf is executed. Only if its value is 0 the initialization was successful.

PDAF also has a Simplified Interface providing the routine PDAF_put_state_lestkf_si. In the simplified interface, the name of the user-supplied routines have predefined names and do not appear in the call to PDAF_put_state_lestkf_si. More information on the pre-defined names is provided in the page on implementing the analysis step of the LESTKF algorithm.