Geochronology
Geochronology
GChron
Articles | Volume 5, issue 1
Articles | Volume 5, issue 1
https://doi.org/10.5194/gchron-5-35-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gchron-5-35-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
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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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, https://doi.org/10.1016/j.epsl.2015.05.051, 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, https://doi.org/10.1130/0091-7613(2001)029<0035:sseote>2.0.co;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, https://doi.org/10.1111/j.1365-2117.2006.00303.x, 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, https://doi.org/10.1111/j.1365-2117.2009.00400.x, 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, https://doi.org/10.1016/j.earscirev.2016.07.010, 2016. 
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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.
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