Announcements

  • New special issue in GChron entitled, “Technical Notes on Modeling Thermochronologic Data”

    Dear Colleagues, 

    Please consider submitting a technical note to our new special issue in GChron entitled, “Technical Notes on Modeling Thermochronologic Data”. This special issue is designed for short contributions that demonstrate and discuss methods used to model and interpret thermochronologic datasets. The goal of this volume is to provide an accessible, community-generated collection of modeling techniques, tools, and strategies; it is a direct response to the thermochronology community’s recent articulation (Ketcham et al., 2021; panel discussions at Thermo2023) of the need for such resources. We envision these short papers will cover topics including modeling best-practices, reporting templates, sensitivity tests, new features in established modeling tools, and strategies for working with different types of data and datasets. This is an opportunity to publish the details of a modeling approach, which are commonly relegated to the supplemental materials of a research publication, in a stand-alone format that is appealing to write as an author and to read as a geoscientist learning about or keeping up with methodological advances. 

    We emphasize that although GChron Technical Notes are peer-reviewed, citable contributions, they “are not fully self-contained research studies; instead they report new developments in or novel aspects of methods, techniques, or tools that are relevant for scientific investigations within the journal scope. Manuscripts of this type should be short and concise (e.g., a few pages only), but they may optionally link to data sets, computer code, or other technical information as electronic supplements”. You can find examples here: https://gchron.copernicus.org/short_communication_technical_note.html 

    The special issue will be open for submission from May 1, 2024 - September 30, 2025. 

    Sincerely, the SI Coordinators:

    Alyssa Abbey, California State University, Long Beach

    Kendra Murray, Idaho State University

    Andrea Stevens Goddard, Indiana University

    Mark Wildman, University of Glasgow