Author

Isidora Jankov

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#machine learning Preprint Oct 2026

A Graph Neural Network for Global Daily Fire Radiative Power Prediction at Medium-Range Lead Times

Skillful prediction of biomass-burning activity several days in advance is important for air-quality forecasting and aerosol prediction. Two operational constraints motivate this work. First, the GBBEPx satellite fire radiative power (FRP) product used to initialize NOAA's GEFS-Aerosols is available with about a 1.5-da...

Li Zhang, Jun Wang, Isidora Jankov et al. · 0 citations

Preprint Aug 2026

Bridging short- and medium-range weather forecasting with machine learning

The National Oceanic and Atmospheric Administration (NOAA) employs independent prediction systems for distinct forecast products. While some separation is practical, we argue that combining short- and medium-range weather into a single prediction system would provide the public with a useful distillation of global weat...

Timothy A. Smith, Mariah Pope, Sergey Frolov et al. · 2 citations