Summer School of Data Assimilation
School of Atmospheric Sciences
Xianlin Campus, Nanjing University
Lars Nerger (Alfred Wegener Institute)
Peter Jan van Leeuwen (Colorado State University)
Amos Lawless (University of Reading)
Yumeng Chen (University of Reading)
Eviatar Bach (University of Reading)
Data assimilation, the fusion of observations with model forecasts, is one of the most important and challenging aspects of predicting the Earth system, including the atmosphere, ocean, land, sea ice, and more. Sophisticated data assimilation algorithms, which combine elements of numerical modeling, observational studies, statistics, and Earth system dynamics, have been developed at operational centers around the world. This one-day summer school will bring together experts from leading prediction centers as well as researchers from top institutes and universities. A broad overview of statistical fundamentals, ensemble Kalman filtering, variational methods, and practical exercises will be provided. This event will be held prior to the 12th International Symposium on Data Assimilation (ISDA), and participants are encouraged to attend.
Graduate students, recent recipients of a Ph.D., and researchers at operational centers, whose research interests extend data assimilation, numerical weather prediction, and the Earth system predictability.
Address: School of Atmospheric Sciences, Nanjing University, 163 Xianlin Road, Qixia District, Nanjing, 210023, China
Contacts: Lili Lei, lililei@nju.edu.cn, Mobile: +86 13182909059；Wei Zhang, wzhangas@nju.edu.cn, Mobile: +86 13057590052
Key Laboratory of Mesoscale Severe Weather, Ministry of Education
School of Atmospheric Sciences
Nanjing University
May 15, 2026
