Reproduce “mloz: A Highly Efficient Machine Learning-Based Ozone Parameterization for Climate Sensitivity Simulations” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Yiling Ma, Nathan Luke Abraham, Stefan Versick, Roland Ruhnke, Andrea Schneidereit, Ulrike Niemeier, Felix Back, Peter Braesicke and 1 more

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.