environmentaltools.processes.nesting

environmentaltools.processes.nesting(k, l, params, data)

Execute nested SWAN and COPLA model runs for a specific time step.

This function performs a coupled wave-morphodynamic simulation by first running SWAN for wave propagation, then COPLA for profile evolution, and finally computing sediment transport using the Kobayashi method.

Parameters:

• k (int) – Time step index

• l (pd.DatetimeIndex or similar) – Current timestamp for the computation

• params (dict) –

  Dictionary with model parameters including:

  • cwdstr

    Current working directory

  • directorystr

    Project directory name

  • Other model-specific parameters

• data (pd.DataFrame) – DataFrame with boundary condition time series

Returns:

Grid dictionary containing computed fields including wave parameters, velocities, and sediment transport rates

Return type:

dict