2016
DOI: 10.2112/si75-191.1
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A Flexible Approach to Forecasting Coastline Change on Wave-Dominated Beaches

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Cited by 13 publications
(6 citation statements)
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“…As such, c f was applied as a triangular probability function (a = 0.7, b = 0.85, c = 1), thereby allowing a maximum 30% reduction in the fluctuating beach erosion volume, due to the presence of the siltstone material in the frontal dune. That is consistent with the reduced response to storms observed at Lake Cathie Beach on the Mid-North Coast ( Figure 1A), where indurated sand (coffee rock) lenses within the frontal dune contribute to about a 30% reduction in beach erosion relative to similarly exposed beaches in the region [61].…”
Section: Local Scale (Wamberal Beach)supporting
confidence: 85%
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“…As such, c f was applied as a triangular probability function (a = 0.7, b = 0.85, c = 1), thereby allowing a maximum 30% reduction in the fluctuating beach erosion volume, due to the presence of the siltstone material in the frontal dune. That is consistent with the reduced response to storms observed at Lake Cathie Beach on the Mid-North Coast ( Figure 1A), where indurated sand (coffee rock) lenses within the frontal dune contribute to about a 30% reduction in beach erosion relative to similarly exposed beaches in the region [61].…”
Section: Local Scale (Wamberal Beach)supporting
confidence: 85%
“…We use a simple shoreline encroachment model that scales in complexity with the detail of data available to inform the modelling approach [61]. Encroachment refers to cumulative erosion into a pre-existing beach-dune system, in which sediment is progressively lost from the beach to the littoral zone, where it may be transferred offshore, alongshore, or into tidal inlets [62].…”
Section: Simple Shoreline Encroachment Modelmentioning
confidence: 99%
“…Common barriers to the uptake of a variety of climate services have been extensively discussed in the literature [3,4,18,[102][103][104][105][106]. Table 3 examines the extent to which these common barriers apply to the case of CCS.…”
Section: Common Barriers In the Development Of Climate Servicesmentioning
confidence: 99%
“…Lack of understanding of the decision-making context [3] Partial (see Section 2): for example, sea level projections have been used in coastal engineering design at the municipality scale in Australia [32,106] Differences in working times for scientists and decision makers providing or using climate services [4] Yes: the French example shows that by establishing a regulation in favour of adaptation, coastal stakeholders require operational products within six months or a year (e.g., multidecadal shoreline erosion predictions), while research has hardly provided with a satisfactory level of confidence so far in this area (Section 3.1). Lack of formalized requirements from translators of climate information into services [101,103] Partial: coastal service providers have hardly provided detailed formalized requirements for sea level information besides Nicholls et al [78]; see Section 3.3)…”
Section: Common Barriers In the Development Of Climate Servicesmentioning
confidence: 99%
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