Code for mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Yiling Ma, Nathan Luke Abraham
DOI: 10.5281/zenodo.19076781
Cited by: 1

Abstract

Code for the paper **"mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations"**, published on the *Journal of Advances in Modeling Earth Systems* (JAMES).

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 March 2026