Title: Air quality forecast through integrated data assimilation and machine learning

Keynote Speaker: Lin Haixiang

Abstract:

A research to further improve the prediction accuracy, using the traditional atmospheric mass numerical simulation model Lotus-Euros combined with machine learning methods, is introduced in the report.

Speaker Introduction:

Dr. Lin Haixiang is a professor at the Institute of Applied Mathematics at Delft University of Technology in the Netherlands and the Department of Environmental Science at the Faculty of Science at Leiden University in the Netherlands. As an expert in the field of high performance computing in the world, he has long been engaged in mathematical modeling and high performance computing research on large-scale problems. In recent memory, his researches have focused on the migration and diffusion of substances in the ocean and atmosphere, data assimilation, machine learning, and solving key scientific issues such as parallel algorithms for large-scale sparse matrix equations. His team has raised the prediction accuracy of existing models in the study of the migration and diffusion of volcanic ash clouds using satellite observation data and data assimilation methods. This result provides aviation safety authorities with a reliable basis for flight safety judgments in future volcanic eruptions. One of his main research directions in recent years is how to increase the accuracy of mathematical physics models combining machine learning and data assimilation. More than 120 papers of his research results have been published in international top journals and international conference proceedings.

Inviter:

Cheng Aijie, Professor in School of Mathematics

Time:

9:00-10:00 on May 19 (Sunday)

Place:

Hall 924， Block B, Zhixin Building, Central Campus

Hosted by: School of Mathematics, Shandong University