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Abstract: High Latitude Ionospheric Prediction and Forcing Deconvolution: A Tree-Based Machine Learning Approach using PFISR and SD-WACCM-X / MERRA2 (AGU25)

High Latitude Ionospheric Prediction and Forcing Deconvolution: A Tree-Based Machine Learning Approach using PFISR and SD-WACCM-X / MERRA2

Benjamin Martinez1, Xian Lu1, Lindsay Goodwin2 and Colin Arcaro3, (1)Clemson University, Physics and Astronomy, Clemson, SC, United States, (2)New Jersey Institute of Technology, Newark, United States, (3)New Jersey Institute of Technology, Edison, NJ, United States