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Projekt Druckansicht

Adaptive Multigrid Methods for coupled ice sheet and ice shelf models

Fachliche Zuordnung Mathematik
Förderung Förderung von 2012 bis 2015
Projektkennung Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 222181801
 
Erstellungsjahr 2014

Zusammenfassung der Projektergebnisse

To better evaluate sea level rise in a climate change regime, it is crucial to develop modern ice flow models that are mechanically complete while being computationally tractable. To meet this demand, two paths of research were followed in this project. The first path focuses on the numerical modelling while the second one focuses on the mechanical modelling. The first path of research was to develop a fast adaptive multigrid Newton solver for the linearly combined SIA+SSA model, which describes the ice flows of marine ice sheets. For that, the truncated nonsmooth Newton multigrid method (TNNMG) proved to be efficient because i) it treats the non-smoothness by convexity rather than by regularization which is known to usually deteriorate the convergence speed of the solver, ii) its convergence was found to be insensitive to local refinements. Combined to an heuristic mesh adaptive refinement, the overall method proved its worth when running the model for the experiments of the marine ice sheet model inter-comparison project MISMIP (2D and 3D). The second path of research consisted of developing a new hybrid model that can recover the non-linear coupling between the SIA and SSA flow components (in opposition to the linearly combined SIA+SSA). For that, a multilayer generalisation of the SSA was derived. Advantageously, this new model keeps intact the mathematical structure of the SSA equation such that the TNNMG solver could be easily generalized column-wise. When running the model for the ISMIP-HOM inter-comparison benchmark experiments, the multilayer solutions have shown good agreement with solutions of the common nonsimplied 3D models, while being computationally cheaper.

Projektbezogene Publikationen (Auswahl)

 
 

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