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

Viewed

Total article views: 5,681 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,209 994 478 5,681 80 179 279
  • HTML: 4,209
  • PDF: 994
  • XML: 478
  • Total: 5,681
  • Supplement: 80
  • BibTeX: 179
  • EndNote: 279
Views and downloads (calculated since 30 Aug 2024)
Cumulative views and downloads (calculated since 30 Aug 2024)

Viewed (geographical distribution)

Total article views: 5,681 (including HTML, PDF, and XML) Thereof 5,681 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 10 May 2026
Download
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.
Read more
Share