讲座简介

There is a rising demand for Arctic sea ice prediction driven in particular by an increasing accessibility of the Arctic in the context of climate change. To improve our capability to predict Arctic sea ice and climate, we have developed a coupled atmosphere-sea ice-ocean model configured for the Arctic with sufficient flexibility. The Los Alamos sea ice model is coupled with the Weather Research and Forecasting Model and the Regional Ocean Modeling System within the Coupled-Ocean-Atmosphere-Wave-Sediment Transport modeling system. A series of sensitivity experiments with different physics options have been performed to determine the ‘optimal’ physics configuration that provides reasonable simulation of Arctic sea ice, serving as the baseline. It is well known that dynamic models used to predict Arctic sea ice at short-term periods strongly depend on model initial conditions. Thus a data assimilation that integrates sea ice observations to generate realistic and skillful model initialization is needed to improve predictive skill of Arctic sea ice……

主讲人简介

刘骥平教授，美国哥伦比亚大学大气科学和物理海洋学博士。现任美国纽约州立大学大气和环境科学系教授。他的研究集中于气候系统模式中海冰-海洋模式的发展、极地气候变化机制及对天气气候的反馈、极地卫星遥感评估及应用。