The Team
Stephan Rasp
Hi, I'm Stephan. I am a PhD student in meteorology at LMU Munich. In my research, I am trying to figure out how to best use deep learning to solve problems in atmospheric science. In other projects I have looked at how deep neural networks can be used to represent clouds in climate models and how machine learning can help to improve probabilistic forecasts of temperature. You can find out more about my research on my website: https://raspstephan.github.io/
Hauke Schulz
Shallow convection poses several demanding questions. The organisation of shallow clouds is one that I try to illuminate as a PhD student at the Max-Planck-Institute for Meteorology. The application of deep learning has the potential to separate cloud structures by their visual appearance to learn in combination with observational data and model-simulations the underlying physical processes. Curious about more? Please visit https://www.mpimet.mpg.de/en/staff/hauke-schulz/
Bjorn Stevens
Bjorn Stevens is a director of the Max-Planck-Institute for Meteorology where he leads the Atmosphere in the Earth System Department and is a professor at the University of Hamburg. Born in Germany, he grew up and went to university in the USA. He has contributed to the International Panel of Climate Change (IPCC) and is a leading figure in the field of atmospheric science. More about his work here: https://www.mpimet.mpg.de/en/staff/bjorn-stevens/
