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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-888', Matthew Fox, 16 Sep 2022
    • AC1: 'Reply on RC1', Peter van der Beek, 10 Oct 2022
  • RC2: 'Comment on egusphere-2022-888', David Whipp, 10 Oct 2022
    • AC2: 'Reply on RC2', Peter van der Beek, 27 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (31 Oct 2022) by Marissa Tremblay
AR by Peter van der Beek on behalf of the Authors (23 Nov 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (16 Dec 2022) by Marissa Tremblay
ED: Publish as is (20 Dec 2022) by Greg Balco (Editor)
AR by Peter van der Beek on behalf of the Authors (22 Dec 2022)
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.