Introduction to Weather and Climate Modelling

Abstract

This lecture introduces the core ingredients needed to build, run, and improve weather and climate models, which are tools that are essential for modern weather forecasting and climate prediction. Moving beyond pure theory, students will learn the practical implementation of dynamic equations and numerical schemes. The session explores essential engineering challenges, teaching students how to manage model stability and select appropriate grid resolutions. Finally, students will prepare for the future of modelling by learning to integrate traditional physics with modern machine learning techniques.

Biography

Dr Shuchang Liu is a postdoctoral researcher at the Massachusetts Institute of Technology, funded by a fellowship from the Swiss National Science Foundation. She earned her PhD in Atmospheric and Climate Science from ETH Zürich, following a Master's at Tsinghua University and a Bachelor's at Nanjing University.

Her research focuses on improving tropical climate projections by integrating high-resolution climate modelling and machine-learning methods.

Registration:

Please follow the link to register for the lecture by 26 Jan 2026 (Monday), 5:00 pm:
https://forms.office.com/r/FbTZNXx36L