Laura Mansfield giving her talk at EGU
Research group
Laura, Lilli, Peter, Simon, Edward and Milan attended the in Vienna. The week was very exciting and we enjoyed attending many talks and posters. We were also lucky to have wonderful sunny weather.
Talks and posters by group members:
- Laura gave an invited talk on , showing results on quantifying parametric uncertainties in a machine learning emulator for atmospheric gravity waves and the resulting uncertainty on stratospheric circulation.
- Laura also co-convened a session on , where we gained insights into how others are using machine learning to improve climate models and their workflows. The room was jam packed!
- Simon gave a talk titled 鈥鈥 in the 鈥淢achine Learning for climate鈥 session.
- Peter presented preliminary results from his work on . The response to his (tiny) poster was positive
- Edward gave a talk titled 鈥鈥, presenting data from the MUMIP (researchers from all modeling centers co-authoring the dataset).
- Lilli shared preliminary results from her current work on . In her poster, she compared the two nextGEMS models ICON and IFS-FESOM to satellite observations to better understand how well the two models simulate convective clouds.
- Lilli also gave a talk on where she presented results from her work as part of the Frontier Development Lab summer research sprint last summer.
- Milan convened a short course , presenting a live demo of SpeedyWeather, and also gave an invited talk on 鈥鈥
We all greatly enjoyed networking and exchanging ideas with groups from other universities and institutions! Thank you to everyone who participated in that!
Laura presenting her research
Lilli presenting her research