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

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

doi:https://doi.org/10.5194/gmd-18-3065-2025

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

Supplement

https://doi.org/10.5194/gmd-18-3065-2025-supplement

Data sets

ClimKern Kernel & Data Repository T. P. Janoski et al. https://doi.org/10.5281/zenodo.14743752

ClimKern: a Python package for calculating radiative feedbacks T. P. Janoski et al. https://github.com/tyfolino/climkern

Model code and software

ClimKern Python Package T. P. Janoski et al. https://doi.org/10.5281/zenodo.14743210

Interactive computing environment

ClimKern Analysis & Plotting Notebook T. P. Janoski https://doi.org/10.5281/zenodo.14757435

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.