JAX Circulation Model

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Authors: J. Varan Madan, Ellen Davenport, Rebecca Gjini, Jared Brzenski, Nick Ho, Tien‐Yiao Hsu, Yueshan Liang, Zhixing Liu, Veeramakali Manivannan, Eric Pham, Rohith Vutukuru, Andrew I. L. Williams
+5 more Zhiqi Yang, Rose Yu, Nicholas J. Lutsko, Stephan Hoyer, Duncan Watson‐Parris
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Abstract

The JAX Circulation Model (JCM) is an open-source, differentiable atmospheric model built in Python using JAX. JCM couples physics parameterizations to the Dinosaur dynamical core through a flexible interface that makes substitution of other schemes easy. This modularity supports benchmarking across physical and machine-learned schemes, with direct access to gradients for sensitivity analysis, calibration, and online learning. The default parameterization scheme uses the SPEEDY (Simplified Parameterizations, primitivE-Equation DYnamics) intermediate-complexity physics scheme.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 January 2026