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The sensitivity of a one-line longshore shoreline change model to the incident wave direction is evaluated at Narrabeen Beach (Australia). As previously observed, the application of the one-line model using wave conditions generated along the 10-m depth contour produces a long-term reorientation of the coastline, with an initial transition period and then a new stable equilibrium during the 10-year period from 2005 to 2015. However, this coastline change in shoreline planform shape is not observed in the shoreline position measurements. The source of this error is investigated by assuming that it is caused by biases in the incident wave direction and by using a Monte Carlo approach to search for the optimal set of wave angle bias corrections to apply at each cross-shore transect. The obtained optimal values enable the one-line model to reproduce accurately the shoreline planform, and they are coherent with estimates of the wave breaking angle obtained independently using a nearshore wave propagation model. Then, using the corrected wave angle time series as a reference, a second Monte Carlo analysis is completed to investigate the sensitivity of the model to errors in the mean wave direction drawn from Gaussian distributions with varying standard deviations. The analysis shows the range of expected errors in shoreline position for an estimated range of errors in the mean wave direction at Narrabeen beach. This work highlights the importance of considering the sensitivity of one-line longshore model simulations to errors in the incident wave angle, which can be relatively large given the uncertainties in spectral wave model estimates of wave direction, in wave buoy observations, and in wave propagation methods or input bathymetry used to estimate wave breaking conditions.

Over 30 years of wave and beach survey data at Collaroy-Narrabeen Beach in southeast Australia are analyzed to investigate the extent to which shoreline variability within this coastal embayment is dominated by shoreline oscillations due to cross-shore sediment exchange or shoreline rotations due to alongshore exchange between the beach’s extremities. Offshore wave data are derived from both buoy measurements and ERA-40 reanalysis data. EOF analysis of the monthly shoreline data suggests that the dominant mode of shoreline variability (60% of variability) is an onshore-offshore sediment exchange that is greater at the more exposed northern end of the beach than at the predominantly sheltered southern end. This mode is primarily associated with variability in wave energy/storms, which by the nature of the wave climate of this region chiefly occurs from the south-southeast. The secondary mode of shoreline variability (26% of variability) is a rotational signal between either end of the beach, which coincides with 24% of the offshore wave climate shifting between the south-southeast and east as well as changes in the wave period and wave energy/storms. A distinct annual cycle is identified in this rotation signal. It is concluded that alongshore sediment transport processes associated with embayment rotation is more subtle than previously thought and a refined conceptual model of coastal embayment variability in this region is presented highlighting the dominance of cross-shore sediment exchange processes.