EGU 2025

I just got back from Vienna for the EGU 2025 General Assembly. The week was very exciting and enjoyed attending many talks and posters. I gave an invited talk on Uncertainty Quantification of Machine Learning Parameterisations, showing results on quantifying parametric uncertainties in a machine learning emulator for atmospheric gravity waves and the resulting uncertainty on stratospheric circulation. I was also a co-convener of a session on Advancing Earth System Models using Machine Learning, where we gained insights into how others are using machine learning to improve climate models and their workflows. The room was jam packed! I had a great time discussing the recent advances in the field of machine learning for climate modelling. And Vienna was also lovely!