报告题目：Use of machine deep learning for climate forecasts
报告人：罗京佳 南京信息工程大学
报告时间：4 月6 日（周四）9:00-10:00
地点：亚培楼W104 会议室
腾讯会议：554-709-002
主持：徐 军 南京信息工程大学
报告摘要：
AI machine learning has attracted more and more attentions for Earth Science applications in recent years, including phenomenon identification and classification, weather and climate forecasts, ocean forecast, renewable energy forecast, data assimilation and reconstruction, numerical-AI hybrid model development and postprocess (e.g., bias correction and downscaling), and among many others. In this talk, I will briefly present our recent progresses on using various deep learning methods for improved seasonal-to-multi-seasonal predictions of ENSO, the Indian Ocean Dipole (IOD), summer precipitation in China and East Africa including the bias correction and downscaling of dynamical climate model’s forecasts, Arctic sea ice cover, as well as the AI forecasts and bias correction of ocean waves. A brief discussion and perspective on the fusion of AI and physics will also be presented.
报告人简介：罗京佳，国家特聘专家、博士生导师，南京信息工程大学气候与应用前沿研究院和智慧气象研究院院长，江苏省“双创人才”和“双创团队”领军，科技部重点研发计划项目首席科学家。长期从事热带气候机理、模式研发、气候预测方法及应用、人工智能应用等研究。2021年入选由英国路透社评选出的气候变化研究领域全球最具国际影响力的1000位科学家名录。现任国际CLIVAR太平洋区域委员会委员、人工智能海洋专委会秘书长等。曾获日本政府“青年科学家奖”、日本海洋科学开发机构“研究功绩奖”等国内外奖项。发表高水平论文160余篇（包括Nature、Science、PNAS等），Google Scholar统计的文章总引用数超过一万五千次，研发的南信大气候预测系统入选国家十三五科技成果展。
