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. Records of past sea levels, storms, and their impacts on coastlines are crucialfor forecasting and managing future changes resultingfrom anthropogenic global warming. Coastal barriers that have prograded overthe Holocene preserve within their accreting sands a history of storm erosionand changes in sea level. High-resolution geophysics, geochronology, andremote sensing techniques offer an optimal way to extract these records anddecipher shoreline evolution. These methods include light detection andranging (lidar) to image the lateral extent of relict shoreline dunemorphology in 3-D, ground-penetrating radar (GPR) to record paleo-dune,beach, and nearshore stratigraphy, and optically stimulated luminescence(OSL) to date the deposition of sand grains along these shorelines.Utilization of these technological advances has recently become moreprevalent in coastal research. The resolution and sensitivity of thesemethods offer unique insights on coastal environments and their relationshipto past climate change. However, discrepancies in the analysis andpresentation of the data can result in erroneous interpretations. Whenutilized correctly on prograded barriers these methods (independently or invarious combinations) have produced storm records, constructed sea-levelcurves, quantified sediment budgets, and deciphered coastal evolution.Therefore, combining the application of GPR, OSL, and Lidar (GOaL) on oneprograded barrier has the potential to generate three detailed records of(1) storms, (2) sea level, and (3) sediment supply for that coastline.Obtaining all three for one barrier (a GOaL hat-trick) can provide valuableinsights into how these 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 localpatterns of sediment supply from the regional effects of storms or globalchanges in sea level, providing for adirect comparison to climate proxy records. Fully realizing this aim requiresstandardization of methods to optimize results. The impetus for thisinitiative is to establish a framework for consistent data collection andanalysis that maximizes the potential of GOaL to contribute to climate changeresearch that can assist coastal communities in mitigating future impacts ofglobal warming.

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