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

pyPDAF