Data-driven surrogates are used to accelerate hybrid vertical equilibrium models by predicting plume distances, mobilities, and coupling interfaces, yielding faster runtimes than traditional simulations with negligible errors and preserved mass conservation.
Hydrology Papers 3 (1964)
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Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling
Data-driven surrogates are used to accelerate hybrid vertical equilibrium models by predicting plume distances, mobilities, and coupling interfaces, yielding faster runtimes than traditional simulations with negligible errors and preserved mass conservation.