[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

11:15 AM - 11:30 AM JST(2:15 AM - 2:30 AM UTC)

[S5-S6-O-06] Evaluation of the 2024 Mid-Term Arctic Summer Sea Ice Forecast by ASIC in Comparison to Observations

*Motomu Oyama¹, Noriaki Kimura², Hironori Yabuki³ (1. Graduate School of Engineering, Kogakuin University (Japan), 2. Atmosphere and Ocean Research Institute, The University of Tokyo (Japan), 3. National Institute of Polar Research (Japan))

Keywords:

statistical method,mid-term sea ice prediction