2019
DOI: 10.1016/j.coastaleng.2019.103520
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Towards efficient uncertainty quantification with high-resolution morphodynamic models: A multifidelity approach applied to channel sedimentation

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Cited by 10 publications
(5 citation statements)
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“…Secondly, coarse grid CFD models (grid size of tens to hundreds of meters) with highly reduced complexity fluid flow equations or surrogate modelling techniques (e.g. Berends et al, 2019), can be used to provide morphological information on the approximate effects of nourishment schemes on the coastal profile or shoreline position over many years to a few decades. Regarding modelling of wind-driven sedimentation and erosion around buildings, many studies exist that model airflow around buildings (e.g.…”
Section: Matching Morphological Information Needs and Morphological Model Capabilitiesmentioning
confidence: 99%
“…Secondly, coarse grid CFD models (grid size of tens to hundreds of meters) with highly reduced complexity fluid flow equations or surrogate modelling techniques (e.g. Berends et al, 2019), can be used to provide morphological information on the approximate effects of nourishment schemes on the coastal profile or shoreline position over many years to a few decades. Regarding modelling of wind-driven sedimentation and erosion around buildings, many studies exist that model airflow around buildings (e.g.…”
Section: Matching Morphological Information Needs and Morphological Model Capabilitiesmentioning
confidence: 99%
“…Another type of surrogate modelling is using low-fidelity physically based surrogates that are simplified models of the original system (Razavi et al, 2012;Berends et al, 2019;Bomers et al, 2019). These low-fidelity models require less computational power than the original CFD model but still include the physical processes, although some processes are parameterised.…”
Section: Reducing Computational Costsmentioning
confidence: 99%
“…These low-fidelity models require less computational power than the original CFD model but still include the physical processes, although some processes are parameterised. For example, a CFD model with a fine grid can be used as a high-fidelity model and a coarser grid as a low-fidelity model (Berends et al, 2019). Another possibility is to use a model based on the 1D shallow water equations as a low-fidelity model.…”
Section: Reducing Computational Costsmentioning
confidence: 99%
“…For understanding the mechanisms driving salt marsh development, process-based models are necessary. The computational time of these models can be decreased by using a multifidelity approach, where high-resolution model runs are used to train lowresolution models (Berends et al, 2019). This multifidelity approach can be used with the process-based models in the current study, assuming that the output of the low-fidelity model and detailed high-fidelity model are correlated.…”
Section: R6 -Increasing Efficiency Of Modelsmentioning
confidence: 99%