Arctic-XBeach v1.0: A Python-Based Thermo-Morphodynamic Model for Arctic Permafrost Coastal Erosion
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.
General Comments:
The manuscript presents Arctic-XBeach v1.0, a Python-based wrapper that couples XBeach with a thermal model for estimating erosion of permafrost erosion. The most significant contribution of the manuscript is the development of the Python-based workflow that allows for the selective coupling of the XBeach module with the thermal module to significantly reduce the amount of time that XBeach is running (and therefore substantially reduce the overall calculation time). The manuscript is generally well-written and structured, presenting well the novelties of the model development. I would have potentially liked to see a stronger discussion that documents a little more the strengths and weaknesses of the model. A lot of the simulations seem to have been done, but it is a little hard to tell how well the model could potentially be applied to other similar sites (independent of the limitations presented in the Discussion).
Other comments are provided below, grouped into Specific and Technical.
Specific Comments:
Technical Comments: