Julian Quinting

Dr. Julian Quinting serves as Group Leader of the Meteorological Data Science group at the Institute of Meteorology and Climate Research (IMK-TRO) within the Karlsruhe Institute of Technology (KIT), Germany, a position he has held since September 2023. Previously, he was a Research Associate at IMK-TRO (2018-2023) and completed postdoctoral research at Monash University (2016-2018) and ETH Zurich (2015).

His educational background includes:

• Meteorology studies at KIT (2006-2011)
• PhD in Meteorology at IMK-TRO, KIT (2011-2015) under Sarah C. Jones

Quinting's research integrates dynamical meteorology with data science, focusing on tropical-extratropical interactions, subseasonal predictability, and the application of machine learning to weather systems. His work examines how tropical phenomena like the Madden-Julian Oscillation influence extratropical circulation patterns and extreme events. He develops statistical models to improve forecasting of atmospheric blocking, heatwaves, and precipitation extremes across Europe, Australia, and Asia.

Analysis of his recent publications reveals a strong emphasis on AI-driven weather prediction, particularly through deep learning architectures like Pangu-Weather, and the quantification of model uncertainties in subseasonal forecasting. His research consistently bridges fundamental atmospheric dynamics with practical forecasting applications, addressing critical challenges in extreme event prediction and climate model biases.

As leader of the Meteorological Data Science group, Quinting directs research that combines observational data, numerical modeling, and advanced statistical techniques to enhance understanding of weather system predictability. His team investigates phenomena ranging from Saharan dust impacts on European weather to Pacific warm conveyor belt dynamics, maintaining strong international collaborations across meteorological institutions worldwide.