Articles | Volume 9, issue 6
https://doi.org/10.5194/esurf-9-1505-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-9-1505-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Dec 2021
Research article |
| 06 Dec 2021
| 06 Dec 2021
Multi-objective optimisation of a rock coast evolution model with cosmogenic 10Be analysis for the quantification of long-term cliff retreat rates
Earth Science and Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
Martin D. Hurst
School of Geographical and Earth Sciences, University of Glasgow, Glasgow, G12 8QQ, United Kingdom
Matthew D. Piggott
Earth Science and Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
Bethany G. Hebditch
Earth Science and Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
Alexander J. Seal
Earth Science and Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
Klaus M. Wilcken
Centre for Acceleration Science, Australian Nuclear Science and Technology Organization (ANSTO), Lucas Heights, NSW 2234, Australia
Dylan H. Rood
Earth Science and Engineering, Imperial College London, London, SW7 2AZ, United Kingdom
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Short summary
Here we use topographic and 10Be concentration data to optimise a coastal evolution model. Cliff retreat rates are calculated for two UK sites for the past 8000 years and, for the first time, highlight a strong link between the rate of sea level rise and long-term cliff retreat rates. This method enables us to study past cliff response to sea level rise and so to greatly improve forecasts of future responses to accelerations in sea level rise that will result from climate change.
Here we use topographic and 10Be concentration data to optimise a coastal evolution model. Cliff...
