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Goal-oriented error estimation and mesh adaptation for shallow water modelling

Abstract : This study presents a novel goal-oriented error estimate for the nonlinear shallow water equations solved using a mixed discontinuous/continuous Galerkin approach. This error estimator takes account of the discontinuities in the discrete solu-tion and is used to drive two metric-based mesh adaptation algorithms: one which yields isotropic meshes and another which yields anisotropic meshes. An implementation of these goal-oriented mesh adaptation algorithms is described, including a method for approximating the adjoint error term which arises in the error estimate. Results are presented for simulations of two model tidal farm configurations computed using the Thetis coastal ocean model (Kärnä et al. in Geosci Model Dev 11(11):4359–4382, 2018). Convergence analysis indicates that meshes resulting from the goal-oriented adaptation strategies permit accurate QoI estimation using fewer computational resources than uniform refinement.
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https://hal.inria.fr/hal-02904413
Contributor : Nicolas Barral <>
Submitted on : Wednesday, July 22, 2020 - 10:28:44 AM
Last modification on : Monday, August 3, 2020 - 4:12:18 PM

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Joseph Wallwork, Nicolas Barral, Stephan Kramer, David Ham, Matthew Piggott. Goal-oriented error estimation and mesh adaptation for shallow water modelling. SN Applied Sciences, Springer Verlag, 2020, 2 (6), ⟨10.1007/s42452-020-2745-9⟩. ⟨hal-02904413⟩

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