Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach

Robust and reliable models are needed to understand how coastlines will evolve over the coming decades, driven by both natural variability and climate change. This study evaluated how accurately five popular ‘reduced-complexity’ models replicate multi-decadal shoreline change at Narrabeen-Collaroy Beach, a sandy embayment in Sydney, Australia. Measured shoreline positions derived from approximately monthly field surveys were used for 20-year calibration and 20-year validation periods. The models performed similarly on average but with large variability between transects. The set-up of several models was modified to compensate for their sensitivity to imperfect input wave data, and further site-specific improvements were identified. Capturing interannual to decadal-scale variability in cross-shore and longshore dynamics at this site was challenging for all five models. Models appeared to aggregate key processes at this timescale into parameter values rather than representing them directly. This suggests time-varying parameters or changes to model structure may be necessary for decadal-scale simulations. • Five models showed similar skill in reproducing decadal-scale shoreline behaviour. • One-line (CERC) sub-models were sensitive to biased nearshore wave direction data. • Some morphodynamics were captured by model parameters rather than forcing terms. • Site-specific as well as general improvements are suggested for these models.

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Publication Details

Journal
Coastal Engineering
Published
2025-02-26
DOI
https://doi.org/10.1016/j.coastaleng.2025.104738
Citations
6
Primary Topic
Coastal and Marine Dynamics
Type
article
Field-Weighted Citation Impact
10.02
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article

Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach

Mitchell D. Harley, Iñaki de Santiago, Sean Vitousek, Oxana Repina et al.
6 citations
Coastal Engineering
Coastal and Marine Dynamics
10.02
article

Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach

Mitchell D. Harley, Iñaki de Santiago, Sean Vitousek, Oxana Repina, Giovanni Coco, José A. Á. Antolínez, Rafael C. Carvalho, Camilo Jaramillo, Kristen D. Splinter, Colin D. Woodroffe
article en
6 citations

Abstract

Robust and reliable models are needed to understand how coastlines will evolve over the coming decades, driven by both natural variability and climate change. This study evaluated how accurately five popular ‘reduced-complexity’ models replicate multi-decadal shoreline change at Narrabeen-Collaroy Beach, a sandy embayment in Sydney, Australia. Measured shoreline positions derived from approximately monthly field surveys were used for 20-year calibration and 20-year validation periods. The models performed similarly on average but with large variability between transects. The set-up of several models was modified to compensate for their sensitivity to imperfect input wave data, and further site-specific improvements were identified. Capturing interannual to decadal-scale variability in cross-shore and longshore dynamics at this site was challenging for all five models. Models appeared to aggregate key processes at this timescale into parameter values rather than representing them directly. This suggests time-varying parameters or changes to model structure may be necessary for decadal-scale simulations. • Five models showed similar skill in reproducing decadal-scale shoreline behaviour. • One-line (CERC) sub-models were sensitive to biased nearshore wave direction data. • Some morphodynamics were captured by model parameters rather than forcing terms. • Site-specific as well as general improvements are suggested for these models.

Coastal EngineeringVol. 199
United States Geological Survey (US), Universidad de Cantabria (ES), University of Auckland (NZ), University of Wollongong (AU), Manly Hospital (AU), UNSW Sydney (AU), Marine Technology Unit (ES), University of Newcastle Australia (AU), Delft University of Technology (NL)
Climate action, Life below water
Openalex Percentile: Top 2%
Coastal and Marine Dynamics
10.02
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