This repo contains the essential codes generated and used for the model training, analyses, and figures in Yu et al. (2026) paper on MLP machine learning framework to predict convective cloud fraction from coarse-res. environmental conditions (see reference).
Yu, H., L. Ver Hoef, K. L. Rasmussen, & I. Ebert-Uphoff, 2026: Exploring the Ability of Machine Learning to Infer Subgrid-scale Convective Cloud Fraction from Coarse-Resolution Environmental Conditions. Artificial Intelligence for the Earth Systems (2026; https://doi.org/10.1175/AIES-D-25-0085.1)