pyPDAF.PDAF.local_g2l_cb

pyPDAF.PDAF.local_g2l_cb()

Project a global to a local state vector for the localized filters. This is the full callback function to be used internally. The mapping is done using the index vector id_lstate_in_pstate that is initialised in pyPDAF.PDAF.local_set_indices.

Parameters:

• step (int) – Current time step

• domain_p (int) – Current local analysis domain

• dim_p (int) – PE-local full state dimension

• state_p (ndarray[tuple[dim_p], np.float64]) –

  PE-local full state vector

  The array dimension dim_p is PE-local full state dimension

• dim_l (int) – Local state dimension

• state_l (ndarray[tuple[dim_l], np.float64]) –

  State vector on local analysis domain

  The array dimension dim_l is Local state dimension

Returns:

state_l – State vector on local analysis domain

The array dimension dim_l is Local state dimension

Return type:

ndarray[tuple[dim_l], np.float64]