[S5-S6-O] S5:Approaches to Sea Ice and Climate Predictions, Process Studies for Advancing Understanding and Forecasting, and Their Utilization for Stakeholders / S6:Sea ice research and machine learning: Opportunities to fill knowledge gaps

9:50 AM - 10:05 AM JST(12:50 AM - 1:05 AM UTC)

[S5-S6-O-02] Retrieving Arctic snow depth with machine learning and multi-source remote sensing data

*Mengmeng Li¹ (1. Zhengzhou University (China))

Keywords:

Snow depth,Arctic,Satellite observations,Random forest,LightGBM,Long Short-Term Memory