Summer School of "Data Assimilation for Geosciences"


Published:2024-05-30


Dates

June 17 2024 – June 21 2024


Location

School of Atmospheric Sciences

Xianlin Campus, Nanjing University

 

Organization

Key Laboratory of Mesoscale Severe Weather of Ministry of Education,

School of Atmospheric Sciences, 

Nanjing University

 

Lecturers

Jeffrey L. Anderson (National Center for Atmospheric Research)

Geir Evensen (Norce Norwegian Research Centre)

Peter Jan van Leeuwen (Colorado State University) 

Amos Lawless (University of Reading)

Masashi Minamide (The University of Tokyo)

 

Summary

Data assimilation, the fusion of observations with model forecasts, is one of the most important and challenging aspects of prediction of our earth system, including the atmosphere, ocean, land, sea ice, and so on. Sophisticated data assimilation algorithms that combines ingredients from numerical modeling, observational studies, statistics, and dynamics of the earth system, have been developed at operational centers around the world. Exciting new data assimilation algorithms that aim to better understand the earth system are also being developed. This one-week summer school will bring together experts from leading prediction centers and researchers from top institutes and universities. A broad overview of statistics fundamentals, ensemble Kalman filter, and variational method will introduce explorations of advanced data assimilation methodologies, such as non-Gaussian filters, ensemble smoothers, and particle filters. Applications in geosciences, including oil reservoir and sea ice, and radiance data assimilation, will also be presented. Finally, topics on the frontier of data assimilation combined with machine learning will be discussed.

 

Participants

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.

 

How to contact us

AddressSchool of Atmospheric Sciences, Nanjing University, Xianlin Dadao #163, Qixia, Nanjing, 210023

ContactsLili Lei, lililei@nju.edu.cn, Cell 13182909059

                  Wei Zhang, wzhangas@nju.edu.cn, Cell 13057590052

     


School of Atmospheric Sciences

Nanjing University

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    Nanjing University · Xianlin Campus
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    Nanjing, Jiangsu Province, 210023