TY - JOUR
T1 - Benchmarking of numerical models for wave overtopping at dikes with shallow mildly sloping foreshores
T2 - Accuracy versus speed
AU - Lashley, Christopher H.
AU - Zanuttigh, Barbara
AU - Bricker, Jeremy D.
AU - van der Meer, Jentsje
AU - Altomare, Corrado
AU - Suzuki, Tomohiro
AU - Roeber, Volker
AU - Oosterlo, Patrick
PY - 2020
Y1 - 2020
N2 - Practitioners often employ diverse, though not always thoroughly validated, numerical models to directly or indirectly estimate wave overtopping (q) 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 q, under shallow foreshore conditions. The results demonstrate that: i) q 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.
AB - Practitioners often employ diverse, though not always thoroughly validated, numerical models to directly or indirectly estimate wave overtopping (q) 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 q, under shallow foreshore conditions. The results demonstrate that: i) q 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.
KW - BOSZ
KW - Infragravity wave
KW - OpenFOAM
KW - SWAN
KW - SWASH
KW - XBeach
UR - http://www.scopus.com/inward/record.url?scp=85085741590&partnerID=8YFLogxK
U2 - 10.1016/j.envsoft.2020.104740
DO - 10.1016/j.envsoft.2020.104740
M3 - Article
AN - SCOPUS:85085741590
VL - 130
JO - Environmental Modelling & Software
JF - Environmental Modelling & Software
SN - 1364-8152
M1 - 104740
ER -