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Nearshore Monitoring with X-Band Radar: Maximising Utility in Dynamic and Complex Environments.

Atkinson, J., Esteves, L.S., Williams, J.J., Bell, P.S. and McCann, D.L., 2021. Nearshore Monitoring with X-Band Radar: Maximising Utility in Dynamic and Complex Environments. Journal of Geophysical Research: Oceans, 126 (4), e2020JC016.

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DOI: 10.1029/2020JC016841


Coastal management and engineering applications require data that quantify the nature and magnitude of changes in nearshore bathymetry. However, bathymetric surveys are usually infrequent due to high costs and complex logistics. This study demonstrates that ground‐based X‐band radar offers a cost‐effective means to monitor nearshore changes at relatively high frequency and over large areas. A new data quality and processing framework was developed to reduce uncertainties in the estimates of radar‐derived bathymetry and tested using data from an 18‐month installation at Thorpeness (UK). In addition to data calibration and validation, two new elements are integrated to reduce the influence of data scatter and outliers: (a) an automated selection of periods of ‘good data’ and (b) the application of a depth‐memory stabilisation. For conditions when the wave height is >1 m, the accuracy of the radar‐derived depths is shown to be ±0.5 m (95% confidence interval) at 40x40 m spatial resolution. At Thorpeness, radar‐derived bathymetry changes exceeding this error were observed at timescales ranging from three weeks to six months. These data enabled quantification of changes in nearshore sediment volume at frequencies and spatial cover that would be difficult and/or expensive to obtain by other methods. It is shown that the volume of nearshore sediment movement occurring at timescale as short as few weeks are comparable with the annual longshore transport rates reported in this area. The use of radar can provide an early warning of changes in offshore bathymetry likely to impact vulnerable coastal locations.

Item Type:Article
Uncontrolled Keywords:bathymetry; coastal monitoring; data quality assessment; nearshore; uncertainty; x-band radar
Group:Faculty of Science & Technology
ID Code:35450
Deposited By: Symplectic RT2
Deposited On:29 Apr 2021 12:03
Last Modified:09 Dec 2022 16:45


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