Talk Rupert Klein "Machine Learning and Math Modelling: how Weather & Climate Science stand to gain"

Colloquium of the Forschungsplattform MMM "Mathematics-Magnetism-Materials" and Meteorological-Geophysical Colloquium

1) 16h45: Welcome & Introduction : Norbert J Mauser & Andreas Stohl (U.Wien)

2) 16h55 – 17h45 : Rupert Klein (FU Berlin): «Machine Learning and Math Modelling: how Weather & Climate Science stand to gain»

Abstract: This presentation will explain by way of examples how data-based machine learning and physics-based mathematical modelling may contribute valuable complementary skills and insights to weather and climate science. Judicious combinations of both promise further progress. However, there are serious potential pitfalls and caveats. The examples involve many-month El Niño prediction, mechanisms for the spin-up of tropical cyclones, and more.

3) 17h55 – 19h: “open discussions” with drinks