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S. Kondragunta

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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
Open access Aug 2026

Methane Emissions From Wildfires: Trends and Anomalies

Wildfires emit smoke particles and trace gases including greenhouse gases into the atmosphere, impacting the environment and leading to detrimental impacts on human health and economy. The estimation of spatially and temporally resolved methane emissions from biomass burning (BB) provides critical information in develo...

Ai-Hua Zhu, S. Kondragunta, I. Csiszar et al. · 0 citations

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