Preprints
https://doi.org/10.5194/egusphere-2025-4086
https://doi.org/10.5194/egusphere-2025-4086
28 Oct 2025
 | 28 Oct 2025
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Coastal-Cosmo-Model (CCMv1): a cosmogenic nuclide model for rocky coastlines

Richard S. Jones

Abstract. Understanding the long-term evolution of rocky coasts requires models that can account for complex interactions between exposure, erosion and sea level, constrained by empirical observations. This paper introduces Coastal-Cosmo-Model version 1 (CCMv1), a modular forward modelling framework designed to reconstruct coastal histories from in situ cosmogenic nuclide concentrations. CCMv1 integrates community-standard production rate calculations and allows flexible inversion of platform histories using discrete erosion and exposure parameters. The model includes four sub-models—inheritance, zero erosion, down-wearing only, and cliff retreat with down-wearing—enabling users to test hypotheses of increasing complexity. Crucially, CCMv1 can be applied to both eroding and non-eroding coastlines, offering a means to investigate the dominant controls on rocky shore histories for different settings. A demonstration using a published dataset from shore platform shows that CCMv1 effectively reproduces measured nuclide concentrations and supports a history of Holocene cliff retreat. CCMv1 provides an adaptable and hypothesis-driven framework for exploring rocky shore histories, with potential for future development to incorporate probabilistic optimisation and additional nuclide systems, and implementation for testing complex (multi-stage) erosion histories or relative sea-level histories.

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Richard S. Jones

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Richard S. Jones
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Short summary
This paper presents a new modelling framework that reconstructs the history of rocky shores using cosmogenic nuclide data. The model can be applied to both eroding and stable coasts, and allows users to test how factors like cliff retreat, down-wearing and sea-level change have shaped coastal landscapes. It provides a flexible tool for exploring long-term coastal evolution across diverse environments.
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