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Discussion papers | Copyright
https://doi.org/10.5194/cp-2018-4
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Technical note 30 Jan 2018

Technical note | 30 Jan 2018

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This discussion paper is a preprint. A revision of the manuscript is under review for the journal Climate of the Past (CP).

Technical note: Optimizing the utility of combined GPR, OSL, and LiDAR (GOaL) to extract paleoenvironmental records and decipher shoreline evolution

Amy J. Dougherty1, Jeong-Heon Choi2, Chris S. M. Turney3, and Anthony Dosseto1 Amy J. Dougherty et al.
  • 1School of Earth and Environmental Science, University of Wollongong, Wollongong, 2522, Australia
  • 2Department of Earth and Environmental Sciences, Korea Basic Science Institute, Ochang, 28119, South Korea
  • 3School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, 2052, Australia

Abstract. Records of past sea levels, storms, and their impacts on coastline are crucial in forecasting future changes resulting from anthropogenic global warming. Coastal barriers that have prograded over the Holocene preserve within their accreting sands history of storm erosion and changes in sea level. High-resolution geophysics, geochronology, and remote sensing techniques offer an optimal way to extract these records and decipher shoreline evolution: Light Detection and Ranging (LiDAR) images the lateral extent of relict shoreline dune morphology; Ground Penetrating Radar (GPR) data records paleo-dune, beach and nearshore stratigraphy; Optically Stimulated Luminescence (OSL) dates when sand grains were deposited that form these shorelines. Utilization of these technological advances has recently become more prevalent in coastal research. The resolution and sensitivity of these methods offer unique insights on coastal environments and their relationship to past climate change. However, discrepancies in analysis and presentation of the data can result in erroneous interpretations. When utilized correctly on prograded barriers these methods (independently or in various combinations) have produced storm records, constructed sea-level curves, quantified sediment budgets, and deciphered coastal evolution. Therefore, combining the application of GPR, OSL, and LiDAR (GOaL) on one prograded barrier has the potential to generate detailed records of storms, sea level, and sediment supply for that coastline. Obtaining this GOaL hat-trick can provide valuable insights into how these three factors influenced past and future barrier evolution. Here we argue that systematically achieving GOaL hat-tricks on some of the 300+ prograded barriers worldwide would allow us to disentangle local patterns of sediment supply from regional effects of storms or global changes in sea level, allowing direct comparison to climate proxy records. To fully realize this aim requires standardization of methods to optimize results. The impetus for this initiative is to establish a framework for consistent data analysis that maximizes the potential of GOaL to contribute to climate change research and assist coastal communities in mitigating future impacts of global warming.

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