Author

J. Caraballo-Vega

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Open access Aug 2026

An Applied Assessment of Multi-Source Data Fusion by Machine Learning for PM2.5 Daily Concentration Prediction

Accurately predicting fine particulate matter (PM2.5) concentrations in regions with sparse monitoring networks remains a critical challenge for air quality management and public health. This study evaluates a machine learning (ML) data fusion approach that integrates daily federal regulatory observations, daily low-co...

Suhrudh Chivukula, Adrian J. Cortes Santos, R. Delgado et al. · Atmosphere · 0 citations

Preprint Aug 2026

MarsCast: Transfer Learning of AI Weather Foundation Models to Planetary Atmospheres

It is demonstrated that Earth-trained AI weather models can be adapted to simulate Martian atmospheric dynamics, providing a pathway toward rapid planetary weather prediction to support mission operations, dust storm risk mitigation, and future human exploration.

M. Carroll, J. Li, S. Guzewich et al. · 0 citations