S1 #6 What can AI tell us about climate? Brain-to-brain with Charlotte Lange.

Climate change and climate protection is a topic much discussed from different aspects. And it’s something that already affects us today and will become even more pressing in future. In this episode, we go brain-to-brain with Charlotte Lange. She loves nature and wants to protect it. For this, she uses a tool that is also often discussed, but mostly in different contexts. She’s doing research and working on projects that connect climate models with deep neural networks, a form of AI, and wants to use the tools offered by technology to play her role in preserving nature. References: David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer Chayes, & Yoshua Bengio. (2019). Tackling Climate Change with Machine Learning. Salva Rühling Cachay, Venkatesh Ramesh, Jason N. S. Cole, Howard Barker, & David Rolnick. (2021). ClimART: A Benchmark Dataset for Emulating Atmospheric Radiative Transfer in Weather and Climate Models. Kaltenborn, J., Lange, C. E. E., Ramesh, V., Brouillard, P., Gurwicz, Y., Nagda, C., … & Rolnick, D. (2023, November). ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning. In Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track. Credits: Produced by: Sophie Kühne and Alina Ohnesorge Logo by: Annika Richter Music by: Jan-Luca Schröder