Changes between Initial Version and Version 1 of init_obserr_f_pdaf


Ignore:
Timestamp:
Feb 9, 2019, 12:39:40 PM (5 years ago)
Author:
lnerger
Comment:

--

Legend:

Unmodified
Added
Removed
Modified
  • init_obserr_f_pdaf

    v1 v1  
     1= init_obserr_f_pdaf =
     2
     3The page documents the user-supplied call-back routine `init_obserr_f_pdaf`.
     4
     5The routine `init_obserr_f_pdaf` (called `U_init_obserr` inside the PDAF core routines) is a call-back routine that has to be provided by the user.
     6This routine is used for generating synthetic observations with PDAF using [PDAF_generate_obs] or [PDAF_put_state_generate_obs].
     7The routine is called by PDAF during the observation generation. Its purpose is to fill the provided vector of observation error standard deviations.
     8
     9The interface is the following:
     10{{{
     11SUBROUTINE init_obserr_f_pdaf(step, dim_obs_f, obs_f, rms_obs)
     12}}}
     13with
     14 * `step` : `integer, intent(in)`[[BR]] Current time step
     15 * `dim_obs_f` : `integer, intent(in)`[[BR]] Size of full observation vector
     16 * `obs_f` : `real, intent(in), dimension(dim_obs_f)`[[BR]] Full vector of observations
     17 * `rms_obs` : `real, intent(out), dimension(dim_obs_f)`[[BR]] Full vector of observation error standard deviations
     18
     19Notes:
     20 * The routines handles the 'full' observation vector as in localizated filters. As described for the observation generation functionality one can also use it for global filters. In this case the 'full' vector would just contain the observations local to a process sub=domain.
     21 * The observation vector `obs_f` is provided to the routine for the case that the observation error is relative to the value of the observations.