Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method

Predicting global patterns of long-term climate change from short-term simulations using machine learning

Assessing effective radiative forcing from aerosol–cloud interactions over the global ocean

Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models - Yu - 2022 - Geophysical Research Letters - Wiley Online Library

Chemistry and the Linkages between Air Quality and Climate Change

Use of Machine Learning to Reduce Uncertainties in Particle Number Concentration and Aerosol Indirect Radiative Forcing Predicted by Climate Models - Yu - 2022 - Geophysical Research Letters - Wiley Online Library

Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand - Aerosol and Air Quality Research

Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning

Atmosphere, Free Full-Text

Using explainable machine learning to evaluate climate change projections

Sustainability, Free Full-Text

Projected Aerosol Changes Driven by Emissions and Climate Change Using a Machine Learning Method