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22.Apr
11:00
KIT Campus Nord, IMK-AAF
Gebäude 326, Raum 150 …
Dr. Romy Fösig, KIT, IMK-AAF
 
 
07.Mai
15:45
Campus Süd, Otto-Lehmann-Hörsaal und online
Prof. Dr. Christian Lessig, Otto-von-Guericke Universität Magdeburg
In the past year, it has been demonstrated that machine learning models trained on the ERA5 reanalysis can
outperform even the best conventional medium-range forecasting systems. One of the next frontiers is the
development of machine learning-based Earth system models that cover not only the atmosphere but also
the other subsystems of the Earth and that are able to represent processes on much wider range of scales in
space and time. This poses many challenges in terms of Earth system modeling, machine learning, and highperformance
computing, e.g. how training on many different datasets with different resolutions and quality
characteristics is possible. In my talk, I will discuss these challenges and first steps towards addressing
these. I will also present results on training directly from observations, which is a tantalizing information
source for building models that can potentially outperform conventional ones.
08.Mai
15:45
Geb. 30.23, Raum 13/2 und online
If you are interested in the zoom link, please contact alexander.siebelts@partner.kit.edu .
(1) Alexander Siebelts
18.Jun
15:45
Campus Süd, Otto-Lehmann-Hörsaal und online
Dr. Raphaela Vogel, Universität Hamburg
Mesoscale processes like cold pools and gust fronts occur everywhere on Earth and they are an essential element of severe storms. But now we realize that they might also be relevant for climate. The multi-scale interactions in which mesoscale processes are interwoven, from the mm-scale of rain drops to the large-scale circulation, were long out of the range accessible to both traditional Earth system models and high-resolution large-eddy simulations. Emerging tools like global coupled storm-resolving simulations, together with new observations and innovative methods to extract process-oriented products now offer the basis for critical advances in understanding the role of mesoscale processes for the radiative budget and hydrological cycle. In this presentation, I will show recent results demonstrating the importance of shallow mesoscale circulations and cold pools for cloud amount and cloud organization in the trades, and discuss two new tools that we’re developing to advance the physical understanding of the role of mesoscale processes for the fate of trade cumulus clouds. 
Mesoscale processes like cold pools and gust fronts occur everywhere on Earth and they are an essential element of severe storms. But now we realize that they might also be relevant for climate. The multi-scale interactions in which mesoscale processes are interwoven, from the mm-scale of rain drops to the large-scale circulation, were long out of the range accessible to both traditional Earth system models and high-resolution large-eddy simulations. Emerging tools like global coupled storm-resolving simulations, together with new observations and innovative methods to extract process-oriented products now offer the basis for critical advances in understanding the role of mesoscale processes for the radiative budget and hydrological cycle. In this presentation, I will show recent results demonstrating the importance of shallow mesoscale circulations and cold pools for cloud amount and cloud organization in the trades, and discuss two new tools that we’re developing to advance the physical understanding of the role of mesoscale processes for the fate of trade cumulus clouds. 
 
25.Jun
15:15
Kolloquium
Title will follow
Raum 2.05, Gebäude 435, KIT Campus Nord und via ZOOM
Dr. Rami Alfarra, Hamad Bin Khalifa University Qatar, Environment & Energy Research Institute
09.Jul
15:45
Campus Süd, Otto-Lehmann-Hörsaal und online
Dr. Annette Miltenberger, Universität Mainz
The moisture content and vertical distribution in the extratropical UTLS is important for radiative properties in particular with a perspective to anticipated change of tropopause height and moisture content due to rising greenhouse gas concentrations. We present a Lagrangian perspective on various processes that control the extratropical UTLS moisture content including deep convection and warm-conveyor belts as well as cloud and mixing processes close to the local tropopause. The analysis combines various data sources on UTLS moisture including high-resolution ICON simulation and ERA5, but also observational data from aircraft and satellite. 
 
16.Jul
15:15
Kolloquium
Title will follow
Raum 2.05, Gebäude 435, KIT Campus Nord und via ZOOM
Prof. Martin King, Royal Holloway University, London, Earth Sciences Department