Climate Science

Machine Learning Workflows in Climate Modeling: Design Patterns and Insights from Case Studies

Machine learning has been increasingly applied in climate modeling on system emulation acceleration, data-driven parameter inference, …

Tian Zheng, Subashree Venkatasubramanian, Shawn Li, Amy Braverman, Xinyi Ke, Zhewen Hou, Peter Jin, Sammy Agrawal

Crowdsourcing the frontier: Advancing hybrid physics-ML climate simulation via a $50,000 Kaggle competition

Jerry Lin, Zeyuan Hu, Tom Beucler, Katherine Frields, Hannah Christensen, Walter Hannah, Helge Heuer, Peter Ukkonen, Laura a Mansfield, Tian Zheng

Calibrating Geophysical Predictions under Constrained Probabilistic Distributions

Zhewen Hou, Jiajin Sun, Subashree Venkatasubramanian, Peter Jin, Shuolin Li, Tian Zheng

Probabilistic data assimilation for ensemble distribution projections with generative machine learning: A Lorenz '96 proof-of-concept

Shuolin Li, Tian Zheng, Alban Farchi, Marc Bocquet, Pierre Gentine

Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning

Siyeon Kim, Juan Nathaniel, Zhewen Hou, Tian Zheng, Pierre Gentine