MOSAIC

Modelling sea level and inundation for cyclones

Coastal flooding due to tropical cyclones is one of the world’s most threatening hazards with damages amounting to hundreds of billions of euros per event. With sea levels rising and tropical cyclones intensifying, these risks are projected to increase in the future. Large-scale risk assessments have advanced rapidly in the last years, but to date they have relied on simple static models. A major scientific challenge is to move towards the application of hydrodynamic models that have high resolution and accuracy.

The aim of MOSAIC was to further advance large-scale flood risk assessment. Within the project, we have demonstrated that thousands of years of events are needed to accurately estimate risk and fully account for low-probability tropical cyclones. The large computation costs of these simulations were tackled by the use a new algorithm combined high performance computing. Moreover, MOSAIC has introduced a multi-scale method for coastal flooding, coupling various hydrodynamic models and global datasets via a Python interface. This approach is computationally efficient and globally applicable and as such paves the way for the application of large-scale flood modelling based on hydrodynamic modelling. Next possible steps include the further development of the coupling software and application at the global scale.

An additional internal eScience Center software sustainability project was awarded to generalize the software that was developed in this project and enhance its sustainability.

Participating organisations

Netherlands eScience Center
Vrije Universiteit Amsterdam

Impact

Output

  • 1.
    Author(s): S. Muis, N Bloemendaal, N. Lin, I. Pelupessy, M. Verlaan, P. Ward, M. Chertova
    Published in American Geophysical Union, Fall Meeting 2019 in 2019

Team

Inti Pelupessy
Inti Pelupessy
Senior RSE
Netherlands eScience Center
Niels  Drost
Niels Drost
Programme Manager
Netherlands eScience Center
SM
Sanne Muis
IBL
Irene Benito Lazaro
MC
Maria Chertova
eScience Research Engineer
Netherlands eScience Center
PW
Philip Ward
Principal investigator
Vrije Universiteit Amsterdam
Rena Bakhshi
Rena Bakhshi
eScience Coordinator
Netherlands eScience Center

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