pyPDAF.PDAF.omi_omit_by_inno_l_cb

pyPDAF.PDAF.omi_omit_by_inno_l_cb()

The function is called during the analysis step on each local analysis domain. It checks the size of the innovation and sets the observation error to a high value if the squared innovation exceeds a limit relative to the observation error variance.This function is an internal PDAF-OMI function that is used as a call-back function. This could be used to modify the observation vector when OMI is used with pyPDAF.PDAF.assimilate_xxx instead of pyPDAF.PDAF.omi_assimilate_xxx.

Parameters:

• domain_p (int) – Current local analysis domain

• dim_obs_l (int) – PE-local dimension of obs. vector

• resid_l (ndarray[tuple[dim_obs_l], np.float64]) –

  Input vector of residuum

  The array dimension dim_obs_l is PE-local dimension of obs. vector

• obs_l (ndarray[tuple[dim_obs_l], np.float64]) –

  Input vector of local observations

  The array dimension dim_obs_l is PE-local dimension of obs. vector

Returns:

• resid_l (ndarray[tuple[dim_obs_l], np.float64]) – Input vector of residuum

  The array dimension dim_obs_l is PE-local dimension of obs. vector

• obs_l (ndarray[tuple[dim_obs_l], np.float64]) – Input vector of local observations

  The array dimension dim_obs_l is PE-local dimension of obs. vector