pyPDAF.PDAF.incremental

pyPDAF.PDAF.incremental()

This is a helper function to apply analysis increment to model state in model forecast phase. It simply calls the user-supplied function.

Parameters:
  • steps (int) – Time steps over which increment is distributed

  • py__dist_stateinc_pdaf (Callable[dim_p:int, state_inc_p : ndarray[tuple[dim_p], np.float64], first:int, steps:int]) –

    Add state increment during integration

    Callback Parameters
    • dim_pint
      • Dimension of PE-local state

    • state_inc_pndarray[tuple[dim_p], np.float64]
      • PE-local state vector

    • firstint
      • Flag for first call of each forecast

    • stepsint
      • number of time steps in forecast

    Callback Returns