The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Forecasting Subseasonal Fire Radiative Power with Novel TabNet-GPR and GNN-LSTM (AGU25)

Forecasting Subseasonal Fire Radiative Power with Novel TabNet-GPR and GNN-LSTM

Sanat Rao1, Shriya Natarajan2, Ishan Nagpal3, Harshit Singh3 and Ziheng Sun4, (1)Ardrey Kell High School, Charlotte, NC, United States, (2)Wilton High School, Wilton, CT, United States, (3)Edison Academy Magnet School, Edison, NJ, United States, (4)George Mason University, Center for Spatial Information Science and Systems, Fairfax, VA, United States