05/02/2024 - Welcome Meng Wang
The “Meteorological Data Science” group welcomes Meng Wang as a visiting PhD student. Meng is currently doing her PhD at the School of Atmospheric Sciences, Sun Yat-sen University, China with Professor Xiuzhen Li focusing on the interaction of high- and low-latitude Rossby waves leading to extreme cold-wet weather conditions in South China. During her stay, she will specifically investigate to what extent the excitation of these waves is linked to the large-scale circulation over the North Atlantic. Meng Wang successfully applied for scholarship funded by the China Scholarship Council which will allow her to stay with us for 12 months until January 2025. We look forward to learning about her research and wish her a joyful stay at IMKTRO! If you would like to learn more about cold-wet extremes in South China, please meet Meng at Campus North, Building 435, Room 219.
03/11/2023 - Welcome Bastian Kirsch
We warmly welcome Bastian Kirsch in the WG „Meteorological Data Science“. Bastian grew up near Hamburg where he studied Meteorology focusing on radar meteorology. In 2022, Bastian completed his PhD under the supervision of Prof. Felix Ament and Cathy Hohenegger entitled “Illuminating convective cold pools with a dense station network”. During his PhD Bastian was heavily involved in the FESSTVaL campaign which took place near the Lindenberg observatory. In the coming years, Bastian will bring in this expertise at IMK-TRO to coordinate the “North Atlantic Waveguide, Dry Intrusion and Downstream Impact Campagin (NAWDIC)”. We are very happy to have Bastian in the NAWDIC team and look forward to the campaign preparation and implementation in winter 2025/2026.
20/09/2023 - Welcome Siyu Li
We warmly welcome Siyu Li in the WG „Meteorological Data Science“. Siyu Li completed her BSc at Nanjing University of Information Science and Technology (NUIST) in June 2020 where she evaluated the representation of major sudden stratospheric warming events in the CESM-WACCM. Siyu then moved to Karlsruhe to complete her Master's degree at the IMK. For her Master’s thesis, Siyu joined the working group „Atmospheric risks“ where she developed a machine learning model for hail prediction in Germany. The PhD project will also include machine learning. As part of the project "Advancing subseasonal predictions at reduced computational effort", Siyu will address the question of how short-term forecast errors in the tropics affect the reliability of subseasonal predictions in Central Europe.