Technical notes on modelling thermochronologic data
Technical notes on modelling thermochronologic data
Editor(s): GChron associate editors | Coordinators: Alyssa L. Abbey (California State University, Long Beach, USA), Mark Wildman (University of Glasgow, UK), Kendra E. Murray (Idaho State University, USA), and Andrea Stevens Goddard (Indiana University, USA)
This special issue is a collection of Technical Notes that demonstrate and discuss methods used to interpret thermochronologic datasets. These contributions provide an accessible, community-generated collection of modelling techniques, tools, and strategies; it is a direct response to the low-temperature thermochronology community’s recent articulation of the need for such resources (e.g. community white paper from the 17th International Conference on Thermochronology: https://www.authorea.com/doi/full/10.1002/essoar.10511082.1). These brief papers cover topics including modelling best practices, reporting templates, sensitivity tests, new features in established modelling tools, and strategies for working with different types of data and datasets. In other words, these Technical Notes publish the details of data interpretation methods that are commonly relegated to the supplemental materials of research papers or more informal – and less accessible – communications.

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07 Oct 2024
Technical Note: Benchmark time-temperature paths provide a shared framework for evaluating and communicating thermochronologic data interpretation
Andrea L. Stevens Goddard, Kendra E. Murray, Alyssa L. Abbey, and Mark Wildman
Geochronology Discuss., https://doi.org/10.5194/gchron-2024-20,https://doi.org/10.5194/gchron-2024-20, 2024
Preprint under review for GChron (discussion: open, 2 comments)
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