[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

12:00 PM - 12:15 PM JST(3:00 AM - 3:15 AM UTC)

[S5-S6-O-09] Optimizing sea ice parameters mitigates the underestimation of Arctic marine access in CMIP6 climate models

*Chao Min^1,2, Qinghua Yang¹, Hao Luo¹, Frank Kauker^2,3, Qi Shu⁴, Xin Wang⁵, Jiping Liu¹, Dake Chen¹ (1. School of Atmospheric Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (China), 2. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (Germany), 3. O.A.Sys. - Ocean Atmosphere Systems (Germany), 4. First Institute of Oceanography, Ministry of Natural Resources (China), 5. Beijing Globe MetRoute Technology Co., Ltd., China Meteorological Administration (China))

Keywords:

Arctic marine access,Sea ice,Arctic maritime development,Climate change,CMIP6