ANR Top-up: High-resolution topography upscaling for overland flows

Project's summary

The objective of the project is to design some efficient DD and Ms methods adapted to the multi-scale surface flow problems, to implement them as a parallel scientific computing software, and finally to validate them over a set of large-scale urban flood scenarios involving realistic high-resolution topography.

Extended summary

Recent talks

Poster at PinT 2022 (conference link)

Sort presentation 2021

Long presentation 2021

Team

Konstantin Brenner (PI)
Associate professor (MCF) at Laboratoire J.A. Dieudonné, Côte d'Azur University.
Member of the joint Inria-LJAD team Coffee.
Domain of expertise: numerical analysis, domain decomposition and multi-scale numerical, nonlinear solvers.

Sébastian Boyaval
Researcher at Saint-Venant Hydraulics Laboratory, joint team with Ecole des Ponts, EDF and CEREMA
Domain of expertise: shallow-water equations, sediment transport, discretisation methods and model reduction.

Victorita Dolean
Associate professor (MCF) at Laboratoire J.A. Dieudonné, Côte d'Azur University.
Professor at the University of Strathclyde, Glasgow, Scotland.
Domain of expertise: two-level domain decomposition methods, scientific machine learning.

Cindy Guichard
Associate professor (MCF) at Laboratoire J.-L. Lions, Sorbonne Université.
Member of the Inria team ANGE.
Domain of expertise: discretization scheme and numerical analysis for nonlinear elliptic and parabolic PDEs.

Florent Largeron
Chef de projet SIG 3D at Métropole Nice Côte d'Azur
Domain of expertise: geodesy, remote sensing, land survey and 3D cities modeling.

Roland Masson
Professor at Laboratoire J.A. Dieudonné, Côte d'Azur University.
Member of the joint Inria-LJAD team Coffee.
Domain of expertise: discretization scheme, numerical analysis and domain decomposition methods.

Frédéric Valentin
Senior Researcher at National Laboratory for Scientific Computing, Petrópolis, Brazil.
International Chair at Inria Sophia Antipolis - Méditerranée (2018-2022).
Domain of expertise: multi-scale numerical methods, domain decomposition methods and asymptotic analysis.

Young researchers

Miranda Boutilier
PhD student since September 2021 at Laboratoire J.A. Dieudonné, Côte d'Azur University.