Preprints
https://doi.org/10.5194/egusphere-2025-901
https://doi.org/10.5194/egusphere-2025-901
07 Mar 2025
 | 07 Mar 2025
Status: this preprint is open for discussion and under review for Geochronology (GChron).

Technical Note: Incorporating topographic deflection effects into thermal history modelling

Richard A. Ketcham

Abstract. This contribution describes a set of equations and relations to calculate accurate cooling paths through the 2D temperature field of an exhuming region with periodic topography. A 1D model adequately captures the time-varying component of the system, making the computation efficient. A series of 2D finite element models demonstrate how temperatures below the periodic mid-slope, or mean topography, can be mapped to those below ridges and valleys, and how these transitions vary with topographic period and amplitude and the ratio of the near-surface geotherm to the atmospheric lapse rate. These new calculations are implemented into HeFTy to support multi-sample modelling of samples collected along topographic profiles, particularly for terranes with long-lived topography that exhumed through an inflected temperature field.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Richard A. Ketcham

Status: open (until 18 Apr 2025)

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Richard A. Ketcham

Model code and software

HeFTy v.2.2.0 installer Richard A. Ketcham https://www.dropbox.com/t/aMk8eN7fr65zJVMy

Richard A. Ketcham

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Short summary
This technical note develops and demonstrates an improvement in how to calculate the temperatures experienced by rocks as they come to the Earth surface due to erosion in mountainous regions. The solution is fast and flexible, and works even in areas where erosion rates have varied through time. The new method has been added to software used to interpret geochronologic data to help discern the history of mountain ranges.
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