Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 14
Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6451-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-6451-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 14
Model description paper
 | 
17 Jul 2026
Model description paper |  | 17 Jul 2026

JCM v1.1: a differentiable, intermediate-complexity atmospheric model

Ellen H. Davenport, J. Varan Madan, Rebecca Gjini, Jared Brzenski, Benjamin Crawford, Nick Ho, Tien-Yiao Hsu, Yueshan Liang, Zhixing Liu, Veeramakali Manivannan, Eric Pham, Rohith Vutukuru, Andrew I. L. Williams, Zhiqi Yang, Rose Yu, Nicholas J. Lutsko, Stephan Hoyer, and Duncan Watson-Parris

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Short summary
We introduce version 1.1 of the JAX Circulation Model (JCM), an open-source atmosphere model. JCM is written in JAX, a framework for high-performance Python code that supports automatic differentiation (automated calculation of how sensitive any program output is to any input). JCM's differentiability and modular design make it easier to train, test, and combine physical-theory-based and data-driven model components, thus providing a flexible and modern platform to facilitate climate research.
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