pyPDAF.PDAF.omi_likelihood_hyb_l_cb

pyPDAF.PDAF.omi_likelihood_hyb_l_cb()

This is an internal PDAF-OMI function that is used as a call-back function to compute the likelihood of the observation for a given ensemble member according to the observations used for the local analysis in LKNETF. This could be used to modify the observation variance when OMI is used with pyPDAF.PDAF.assimilate_xxx instead of pyPDAF.PDAF.omi_assimilate_xxx. See https://pdaf.awi.de/trac/wiki/U_likelihood_l

Parameters:

• domain_p (int) – Current local analysis domain

• step (int) – Current time step

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

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

  PE-local vector of observations

  The array dimension dim_obs_l is 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.

• alpha (float) – Hybrid weight

• lhood_l (float) – Output vector - log likelihood

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

• lhood_l (float) – Output vector - log likelihood