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

van der Beek, Peter; Schildgen, Taylor F.

doi:https://doi.org/10.5194/gchron-5-35-2023

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

Supplement

https://doi.org/10.5194/gchron-5-35-2023-supplement

Data sets

Thermochronology dataset for Himalaya T. F. Schildgen and P. A. van der Beek https://doi.org/10.5281/zenodo.7053115

Model code and software

age2exhume Matlab scripts P. A. van der Beek and T. F. Schildgen https://doi.org/10.5281/zenodo.7341603

age2exhume Python script T. F. Schildgen and P. A. van der Beek https://doi.org/10.5281/zenodo.7341690

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.