Large-scale deep-water (hourly) wave reanalysis databases (>30 years and 0.1°-1° spatial resolution) provide valuable information for wave climate research and ocean applications. However, coastal studies need a more detailed spatial resolution (50-500 m), including wave transformation processes in shallow water. The regionalization (or downscaling) method is usually solved by applying the hour-by-hour SWAN wave propagation model (Booij et al. 1999), which requires a high effort in CPU time.

The IHPropaga strategy brings together the global framework for regionalizing wave re-analysis to coastal areas, drastically reducing the effort in CPU time (approximately 1000 times) by using a hybrid methodology (Camus et al. 2013), which combines numerical models (dynamic scaling) and mathematical tools (statistical scaling).

The GUI easily handles all SWAN configuration requirements, including pre- and post-processes related to: bathymetry, mesh creation (structured and/or unstructured), clustering (selection of a subset of numerical simulations and the definition of the wave transfer function incorporating the dependence on wave spatial variability and non-uniform wind forces), batch run control, reconstruction algorithm and general wave climate analysis including wave spectra and wave propagation maps (formats: *.jpg, *.fig, *.vtk).