= U_init_dim_obs_f =
The page document the user-supplied call-back routine `U_init_dim_obs_f`.
The routine `U_init_dim_obs_f` is a call-back routine that has to be provided by the user. In the simplified interface the predefined name of the routine is `init_dim_obs_f_pdaf`, but in the full interface, the user can choose the name of the routine.
The routine is used with all filter algorithms using domain-localization (LSEIK, LETKF, LESTKF) and is independent of the particular algorithm.
The routine is called at the beginning of each analysis step, before the loop over all local analysis domains is entered. It has to initialize the size of the full observation vector according to the current time step. For simplicity, this size can be the number of observations for the global model domain.
The interface is the following:
{{{
SUBROUTINE U_init_dim_obs_f(step, dim_obs_f)
}}}
with
* `step` : `integer, intent(in)`[[BR]] Current time step
* `dim_obs_f` : `integer, intent(out)`[[BR]] Size of the full observation vector
Some hints:
* It can be useful to not only determine the size of the observation vector at this point. One can also already gather information about the location of the observations, which can be used later, e.g. to implement the observation operator. In addition, one can already prepare an array that holds the full observation vector. This can be used later by `U_init_obs_l` to initialize a local vector of observations by selecting the relevant parts of the full observation vector. The required arrays can be defined in a module like `mod_assimilation`.
* The routine is similar to `U_init_dim_obs` used in the global filters. However, if the global filter is used with a domain-decomposed model, it only initializes the size of the observation vector for the local model sub-domain. This is different for the local filters, as the local analysis also requires observational data from neighboring model sub-domains. Nonetheless, one can base on an implemented routine `U_init_dim_obs` to implement `U_init_dim_obs_f`.