Select Publications
Preprints
2024, Can Lstm Neural Networks Learn Physically Meaningful Principles? A Case Study in Sandy Shoreline Modelling, http://dx.doi.org/10.2139/ssrn.4790010
,2024, A National-Scale Coastal Storm Hazards Early Warning System for Australia, http://dx.doi.org/10.2139/ssrn.4779125
,2024, Observations on the Role of Internal Sand Moisture Dynamics in Dune Face Erosion, http://dx.doi.org/10.2139/ssrn.4781286
,2023, Pacific shoreline erosion and accretion patterns controlled by El Niño/Southern Oscillation, http://dx.doi.org/10.31223/x5gx02
,2023, Evaluating Climate Signals on Global Coastal Shoreline Positions A commentary on “Influence of El Niño on the variability of global shoreline position” by Almar and colleagues., http://dx.doi.org/10.31223/x5w66t
,2023, Satellite-derived shorelines for monitoring of sandy beaches: a benchmark study, http://dx.doi.org/10.31223/x58w98
,2023, A model integrating satellite-derived shoreline observations for predicting fine-scale shoreline response to waves and sea-level rise across large coastal regions, http://dx.doi.org/10.22541/essoar.167839941.16313003/v1
,2022, New Perspectives for Nonlinear Depth-inversion of the Nearshore Using Boussinesq Theory, http://dx.doi.org/10.1002/essoar.10512588.1
,2021, Beach-face slope dataset for Australia, http://dx.doi.org/10.5194/essd-2021-388
,2020, Enhanced coastal shoreline modelling using an Ensemble Kalman Filter to include non-stationarity in future wave climates, http://dx.doi.org/10.1002/essoar.10503626.1
,2020, Aligning free surface properties in time-varying hydraulic jumps, http://dx.doi.org/10.48550/arxiv.2007.05128
,A Python Toolkit to Monitor High-Resolution Shoreline Change Using Planetscope Cubesats, http://dx.doi.org/10.2139/ssrn.4052360
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