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Abstract: Development of an Machine Learning (ML)-Based Wildfire Emission Prediction System for Weather and Subseasonal-to-Seasonal (S2S) Forecasting (AGU25)

Development of an Machine Learning (ML)-Based Wildfire Emission Prediction System for Weather and Subseasonal-to-Seasonal (S2S) Forecasting

Li Zhang1, Gonzalo Ferrada1, Ziheng Sun2, Yunyao Li3, Shan Sun4 and Daniel Tong5, (1)CU Boulder/CIRES and NOAA Global Systems Laboratory, Boulder, United States, (2)George Mason University, Center for Spatial Information Science and Systems, Fairfax, VA, United States, (3)The University of Texas at Arlington, Arlington, United States, (4)NOAA Global Systems Laboratory, Boulder, United States, (5)George Mason University, Department of Atmospheric, Oceanic & Earth Sciences, Fairfax, United States
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