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Cited by 182

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Coastline responses to changing storm patterns

Open access
Slott, Jordan M., Murray, A. Brad, Ashton, Andrew D., Crowley, Thomas J.·2006·Geophysical Research Letters

Abstract

Researchers and coastal managers are pondering how accelerated sea‐level rise and possibly intensified storms will affect shorelines. These issues are most often investigated in a cross‐shore profile framework, fostering the implicit assumption that coastline responses will be approximately uniform in the alongshore direction. However, experiments with a recently developed numerical model of coastline change on a large spatial domain suggest that the shoreline responses to climate change could be highly variable. As storm and wave climates change, large‐scale coastline shapes are likely to shift—causing areas of greatly accelerated coastal erosion to alternate with areas of considerable shoreline accretion. On complex‐shaped coastlines, including cuspate‐cape and spit coastlines, the alongshore variation in shoreline retreat rates could be an order of magnitude higher than the baseline retreat rate expected from sea‐level rise alone.

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Crossref · 10.1029/2006gl027445

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Metadata

Authors
Slott, J. M., Murray, A. B., Ashton, A. D., & Crowley, T. J.
Venue
Geophysical Research Letters
Published
2006-09
Volume
33
Issue
18
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W2075504769
Cited by
182
References
1
FWCI
11.21
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Coastline responses to changing storm patterns. https://app.cochat.ai/papers/10.1029/2006gl027445
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Slott, J. M., Murray, A. B., Ashton, A. D., & Crowley, T. J. (2006). Coastline responses to changing storm patterns. Geophysical Research Letters. https://doi.org/10.1029/2006gl027445

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.