Articles | Volume 5, issue 1
Short communication/technical note
16 Jan 2023
Short communication/technical note |  | 16 Jan 2023

Short communication: age2exhume – a MATLAB/Python script to calculate steady-state vertical exhumation rates from thermochronometric ages and application to the Himalaya

Peter van der Beek and Taylor F. Schildgen

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Geochronological data analysis/statistics/modelling
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Cited articles

Ballato, P., Landgraf, A., Schildgen, T. F., Stockli, D. F., Fox, M., Ghassemi, M. R., Kirby, E., and Strecker, M. R.: The growth of a mountain belt forced by base-level fall: Tectonics and surface processes during the evolution of the Alborz Mountains, Iran, Earth Planet. Sc. Lett., 425, 204–218,, 2015. 
Bernet, M., Zattin, M., Garver, J. I., Brandon, M. T., and Vance, J. A.: Steady-state exhumation of the European Alps, Geology, 29, 35–38,<0035:sseote>;2, 2001. 
Bernet, M., van der Beek, P., Pik, R., Huyghe, P., Mugnier, J.-L., Labrin, E., and Szulc, A.: Miocene to Recent exhumation of the central Himalaya determined from combined detrital zircon fission-track and U/Pb analysis of Siwalik sediments, western Nepal, Basin Res., 18, 393–412,, 2006. 
Bernet, M., Brandon, M., Garver, J., Balestrieri, M. L., Ventura, B., and Zattin, M.: Exhuming the Alps through time: clues from detrital zircon fission-track thermochronology, Basin Res., 21, 781–798,, 2009. 
Bracciali, L., Parrish, R. R., Najman, Y., Smye, A., Carter, A., and Wijbrans, J. R.: Plio-Pleistocene exhumation of the eastern Himalayan syntaxis and its domal “pop-up”, Earth-Sci. Rev., 160, 350–385,, 2016. 
Short summary
Thermochronometric data can provide unique insights into the patterns of rock exhumation and the driving mechanisms of landscape evolution. Several well-established thermal models allow for a detailed exploration of how cooling rates evolved in a limited area or along a transect, but more regional analyses have been challenging. We present age2exhume, a thermal model that can be used to rapidly provide a synoptic overview of exhumation rates from large regional thermochronologic datasets.