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Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores : accuracy versus speed

Christopher H. Lashley, Barbara Zanuttigh, Jeremy D. Bricker, Jentsje van der Meer, Corrado Altomare (UGent) , Tomohiro Suzuki, Volker Roeber and Patrick Oosterlo
(2020) ENVIRONMENTAL MODELLING & SOFTWARE. 130.
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Abstract
Practitioners often employ diverse, though not always thoroughly validated, numerical models to directly or indirectly estimate wave overtopping () at sloping structures. These models, broadly classified as either phase-resolving or phase-averaged, each have strengths and limitations owing to the physical schematization of processes within them. Models which resolve the vertical flow structure or the full wave spectrum (i.e. sea-swell (SS) and infragravity (IG) waves) are considered more accurate, but more computationally demanding than those with approximations. Here, we assess the speed-accuracy trade-off of six well-known models for estimating , under shallow foreshore conditions. The results demonstrate that: i) is underestimated by an order of magnitude when IG waves are neglected; ii) using more computationally-demanding models does not guarantee improved accuracy; and iii) with empirical corrections to incorporate IG waves, phase-averaged models like SWAN can perform on par, if not better than, phase-resolving models but with far less computational effort.
Keywords
Ecological Modelling, Environmental Engineering, Software, Infragravity wave, OpenFOAM, BOSZ, XBeach, SWASH, SWAN, WATER EQUATIONS, SET-UP, EFFICIENT, NEARSHORE, SWASH, FLOW, PROPAGATION, PREDICTIONS, DYNAMICS, INCIDENT

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MLA
Lashley, Christopher H., et al. “Benchmarking of Numerical Models for Wave Overtopping at Dikes with Shallow Mildly Sloping Foreshores : Accuracy versus Speed.” ENVIRONMENTAL MODELLING & SOFTWARE, vol. 130, 2020, doi:10.1016/j.envsoft.2020.104740.
APA
Lashley, C. H., Zanuttigh, B., Bricker, J. D., van der Meer, J., Altomare, C., Suzuki, T., … Oosterlo, P. (2020). Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores : accuracy versus speed. ENVIRONMENTAL MODELLING & SOFTWARE, 130. https://doi.org/10.1016/j.envsoft.2020.104740
Chicago author-date
Lashley, Christopher H., Barbara Zanuttigh, Jeremy D. Bricker, Jentsje van der Meer, Corrado Altomare, Tomohiro Suzuki, Volker Roeber, and Patrick Oosterlo. 2020. “Benchmarking of Numerical Models for Wave Overtopping at Dikes with Shallow Mildly Sloping Foreshores : Accuracy versus Speed.” ENVIRONMENTAL MODELLING & SOFTWARE 130. https://doi.org/10.1016/j.envsoft.2020.104740.
Chicago author-date (all authors)
Lashley, Christopher H., Barbara Zanuttigh, Jeremy D. Bricker, Jentsje van der Meer, Corrado Altomare, Tomohiro Suzuki, Volker Roeber, and Patrick Oosterlo. 2020. “Benchmarking of Numerical Models for Wave Overtopping at Dikes with Shallow Mildly Sloping Foreshores : Accuracy versus Speed.” ENVIRONMENTAL MODELLING & SOFTWARE 130. doi:10.1016/j.envsoft.2020.104740.
Vancouver
1.
Lashley CH, Zanuttigh B, Bricker JD, van der Meer J, Altomare C, Suzuki T, et al. Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores : accuracy versus speed. ENVIRONMENTAL MODELLING & SOFTWARE. 2020;130.
IEEE
[1]
C. H. Lashley et al., “Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores : accuracy versus speed,” ENVIRONMENTAL MODELLING & SOFTWARE, vol. 130, 2020.
@article{8667979,
  abstract     = {{Practitioners often employ diverse, though not always thoroughly validated, numerical models to directly or indirectly estimate wave overtopping () at sloping structures. These models, broadly classified as either phase-resolving or phase-averaged, each have strengths and limitations owing to the physical schematization of processes within them. Models which resolve the vertical flow structure or the full wave spectrum (i.e. sea-swell (SS) and infragravity (IG) waves) are considered more accurate, but more computationally demanding than those with approximations. Here, we assess the speed-accuracy trade-off of six well-known models for estimating , under shallow foreshore conditions. The results demonstrate that: i) is underestimated by an order of magnitude when IG waves are neglected; ii) using more computationally-demanding models does not guarantee improved accuracy; and iii) with empirical corrections to incorporate IG waves, phase-averaged models like SWAN can perform on par, if not better than, phase-resolving models but with far less computational effort.}},
  articleno    = {{104740}},
  author       = {{Lashley, Christopher H. and Zanuttigh, Barbara and Bricker, Jeremy D. and van der Meer, Jentsje and Altomare, Corrado and Suzuki, Tomohiro and Roeber, Volker and Oosterlo, Patrick}},
  issn         = {{1364-8152}},
  journal      = {{ENVIRONMENTAL MODELLING & SOFTWARE}},
  keywords     = {{Ecological Modelling,Environmental Engineering,Software,Infragravity wave,OpenFOAM,BOSZ,XBeach,SWASH,SWAN,WATER EQUATIONS,SET-UP,EFFICIENT,NEARSHORE,SWASH,FLOW,PROPAGATION,PREDICTIONS,DYNAMICS,INCIDENT}},
  language     = {{eng}},
  pages        = {{14}},
  title        = {{Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores : accuracy versus speed}},
  url          = {{http://dx.doi.org/10.1016/j.envsoft.2020.104740}},
  volume       = {{130}},
  year         = {{2020}},
}
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