UM2N mesh movement in a DG non-hydrostatic Thetis model cuts nearshore wave-peak error by ~91% vs a coarse fixed mesh on Monai Valley and is more robust and faster than Monge–Ampère adaptation.
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Machine Learning Based Mesh Movement for Non-Hydrostatic Tsunami Simulation
UM2N mesh movement in a DG non-hydrostatic Thetis model cuts nearshore wave-peak error by ~91% vs a coarse fixed mesh on Monai Valley and is more robust and faster than Monge–Ampère adaptation.