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, …
PDF Cite DOI Journal arXiv
Crowdsourcing the frontier: Advancing hybrid physics-ML climate simulation via a $50,000 Kaggle competition
PDF Cite DOI Journal
Taller trees experienced less crown damage during a severe hurricane in a tropical forest
Hurricanes strongly regulate vegetation structure and dynamics in coastal tropical forests by causing tree mortality and damaging the …
PDF Cite DOI Journal
Calibrating Geophysical Predictions under Constrained Probabilistic Distributions
PDF Cite Code DOI arXiv GitHub (TZstats-Columbia)
Power Ensemble Aggregation for Improved Extreme Event AI Prediction
This paper addresses the critical challenge of improving predictions of climate extreme events, specifically heat waves, using machine …
PDF Cite DOI arXiv
Probabilistic data assimilation for ensemble distribution projections with generative machine learning: A Lorenz '96 proof-of-concept
PDF Cite DOI Journal ESSOAr preprint
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
PDF Cite Code Journal arXiv
Machine-assisted physical closure for coarse suspended sediments in vegetated turbulent channel flows
The parameterization of suspended sediments in vegetated flows presents a significant challenge, yet it is crucial across various …
PDF Cite DOI Journal
Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning
PDF Cite DOI Journal