SEAMLESS-WAVE is a developing “SoftwarE infrAstructure for Multi-purpose fLood modElling at variouS scaleS” based on "WAVElets" and their versatile properties. The vision behind SEAMLESS-WAVE is to produce an intelligent and holistic modelling framework, which can drastically reduce iterations in building and testing for an optimal model setting, and in controlling the propagation of model-error due to scaling effects and of uncertainty due statistical inputs.

View the Project on GitHub ci1xgk/Fellowship_Webpage


Development and validation of new modelling frameworks and techniques are ongoing activities, many of which are already openly accessible. These include the following:

Food-pedestrian simulator

LISFLOOD-FP8.0 with DG2 and GPU solvers

Smart and flexible multiresolution solvers

Efficient uncertainty propagation approaches