报 告 人：王意国 高级研究员，挪威南森环境与遥感中心（NERSC）
报告时间：2024年10月18日（星期五）下午14：00
报告地点：西康路1号威尼斯5994307室
主 持 人：沈浙奇 副教授
报告简介：
Climate reanalyses refer to dynamically consistent reconstruction of past climate conditions using a combination of observational data and numerical models. It is of high importance to study climate variability, understand climate processes, and initialise climate predictions. We recently produced a long and coupled reanalysis from 1860 to the present with the Norwegian Climate Prediction Model (NorCPM) that assimilates sea surface temperature (SST) observations. NorCPM combines the Norwegian Earth System Model and the ensemble Kalman filter data assimilation method. SST is available for the whole period and is the primary source of instrumental oceanic measurements prior to the 1950s. Our reanalysis belongs to the category of sparse input reanalysis that minimizes artefacts due to changes in the observation network. The time extent of the reanalysis allows us to assess robustly the mechanisms driving the decadal variability and predictability. Furthermore, as we only used the oceanic data during assimilation, the reanalysis helps to understand the contribution of the ocean in driving variability of the climate system (e.g., the atmosphere and sea ice). We present a comprehensive analysis of the reanalysis in surface air temperature, sea level pressure, Arctic sea ice extent, ocean heat/salt content, and Atlantic Meridional Overturning Circulation (AMOC).
报告人简介：
王意国，挪威南森环境与遥感中心高级研究员。2013年获得巴黎综合理工大学(世界大学排名第45位，法国大学排名第一位)的物理学博士，2019年入选挪威研究理事会“优秀青年人才”项目（约600万人民币）。参加10余项重大挪威研究理事会项目、北欧研究理事会项目及欧盟项目。目前是挪威研究理事会项目：1850年至今气候再分析资料（简称CoRea，约600万人民币）和挪威-中国合作项目：次季节-季节海冰预报研究（简称4SICE，约1200万人民币）的主持人。他是挪威气候预报系统（NorCPM）的主要研发者之一，成功参与第六次国际耦合模式比较计划（CMIP6)的年代际气候预测计划（DCPP），参与世界气象组织年际-年代际气候预测计划和国际海冰预测计划。
