Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 10
Articles | Volume 18, issue 10
https://doi.org/10.5194/gmd-18-3065-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-3065-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 10
Methods for assessment of models
 | 
27 May 2025
Methods for assessment of models |  | 27 May 2025

ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks

Tyler P. Janoski, Ivan Mitevski, Ryan J. Kramer, Michael Previdi, and Lorenzo M. Polvani

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-2561', Mark Zelinka, 14 Oct 2024
  • RC2: 'Comment on egusphere-2024-2561', Max Coleman, 30 Oct 2024
  • AC1: 'Comment on egusphere-2024-2561', Tyler Janoski, 28 Jan 2025
  • AC2: 'Comment on egusphere-2024-2561', Tyler Janoski, 28 Jan 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Tyler Janoski on behalf of the Authors (28 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 Feb 2025) by Fiona O'Connor
AR by Tyler Janoski on behalf of the Authors (10 Mar 2025)  Manuscript 
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Short summary
We developed ClimKern, a Python package and radiative kernel repository, to simplify calculating radiative feedbacks and make climate sensitivity studies more reproducible. Testing of ClimKern with sample climate model data reveals that radiative kernel choice may be more important than previously thought, especially in polar regions. Our work highlights the need for kernel sensitivity analyses to be included in future studies.
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