Preprints
https://doi.org/10.5194/egusphere-2026-2371
https://doi.org/10.5194/egusphere-2026-2371
18 Jun 2026
 | 18 Jun 2026
Status: this preprint is open for discussion and under review for Geoscientific Model Development (GMD).

Arctic-XBeach v1.0: A Python-Based Thermo-Morphodynamic Model for Arctic Permafrost Coastal Erosion

Kees Nederhoff, Kevin de Bruijn, Carola Seyfert, Li Erikson, Stuart Pearson, Robert McCall, Ferdinand Oberle, and Tom Ravens

Abstract. Climate warming is leading to the erosion of Arctic permafrost coastlines at accelerating rates, with erosion up to 20 m yr−1 along the Alaska Beaufort Sea. Yet, accurate predictions of this erosion require coupling thermal permafrost dynamics with coastal hydro-morphodynamics, and current models are either computationally prohibitive for long-term simulations or omit important physical processes. To address these issues, a new open-source Python-based model called Arctic-XBeach was developed to couple the morphodynamic model XBeach to a one-dimensional enthalpy-based thermal module. A focus of this first version of Arctic-XBeach is on thermal denudation, the dominant erosion mechanism at sites where elevated beaches limit direct wave–bluff contact. Unlike prior implementations of thermal modules coupled with morphodynamic models, ArcticXBeach uses an event-driven decoupling strategy. Specifically, the thermal module continues to calculate the evolution of the thawed layer during the year, but the morphodynamic module (XBeach) is only activated when simulated storms produce conditions under which thawed sediment is available for removal. Using this decoupled strategy results in a reduction of >99 % in the number of calculations required for each time step in comparison to continuous coupling of the two modules. Validation of the model was performed at Barter Island, Alaska. Observed temperature trends were well-reproduced by the model (RMSE < 1.5 K), and the modeled trends in shoreline & bluff recession matched the observed trends (RMSE of 2.0–4.1 m over evaluation periods spanning 2–3 years each, compared to a total observed retreat of ∼112 m over 70 years with peaks of 6.6 m yr−1). Therefore, Arctic-XBeach has the potential to be used to run seasonal to decadal simulations of thermal- denudation dominated permafrost coastal changes, and also provides a flexible platform to integrate other Arctic-specific processes. Thermal abrasion and block-failure processes are planned as future extensions.

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Kees Nederhoff, Kevin de Bruijn, Carola Seyfert, Li Erikson, Stuart Pearson, Robert McCall, Ferdinand Oberle, and Tom Ravens

Status: open (until 13 Aug 2026)

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Kees Nederhoff, Kevin de Bruijn, Carola Seyfert, Li Erikson, Stuart Pearson, Robert McCall, Ferdinand Oberle, and Tom Ravens
Kees Nederhoff, Kevin de Bruijn, Carola Seyfert, Li Erikson, Stuart Pearson, Robert McCall, Ferdinand Oberle, and Tom Ravens
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Latest update: 18 Jun 2026
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Short summary
Arctic coastlines are eroding rapidly as the climate warms, with some stretches retreating several metres per year and threatening homes in Alaska. We built Arctic-XBeach, an open-source model linking the thawing of frozen ground to wave-driven coastal change. By updating the coast only during storms, it runs fast enough for multi-year projections. Tested at Barter Island, Alaska, it reproduced ground temperatures and shoreline retreat, offering a tool for Arctic coastal planning.
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