Atmospheric Physics Building,Department of Physics, University of Oxford, Parks Road, Oxford, OX1 3PU
Professor Ziniu Xiao, Institute of Atmospheric Physics, China.
Andrea Simpson (andrea.simpson@physics.ox.ac.uk)
Abstract
Under the background of global warming, the frequency of extreme weather and climate events has increased significantly. China, situated in the East Asian monsoon region, experiences weather and climate patterns influenced by a multitude of factors. Over recent years, there has been an upward trend in the occurrence of disasters such as heatwaves, cold temperatures events, droughts, heavy precipitation, and typhoons. Through the analysis of several typical high-impact extreme events such as heat waves, strong temperature drops, abnormal precipitation, and typhoons moving northward, it can be seen that extreme weather and climate events in China are influenced by multiple factors and time scales, and the formation mechanism is complex. The prediction of extreme climate events is currently a challenge. The combination of deep learning and numerical models may bring new opportunities for the prediction of extreme events.
Background: Prof. Xiao is Director of the Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, CAS, China.
He is a chief scientist of National Basic Research Program of China and National Key R&D Program of China. He is mainly engaged in research work in the fields of monsoon, climate change and extreme events, solar-terrestrial climate relationship, weather and climate prediction and forecast, and wind and solar energy resources. He has published over 240 academic papers and authored or co-authored 9 academic monographs. His scientific research achievements have won more than ten natural science and technology progress awards.