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