The Atmospheric Variability and Trends Research Group is founded in the field of atmospheric chemistry and physics. Our team operates the triple midlatitude site - Zugspitze (2964 m a.s.l.), Schneefernerhaus (2650 m a.s.l.), Garmisch-Partenkirchen (734 m a.s.l.) - which is one of the best-equipped atmospheric observation facilities on the globe. Using up-looking optical soundings along with numerical models for data analysis, we address some of the big questions in climate sciences. Further information Atmospheric Variability and Trends.

Water and climate - they are of utmost importance for us, our environment and our future. Our work faces the challenge to contribute to the following central scientific and societal relevant questions: How much water is available in a certain region? How does water availability or flooding risk change in a transient climate? Which long-term interdependencies and interactions exist between the land surface, subsurface and the overlying atmosphere? What kind of climate will we likely face untill 2100?Further information Regional Climate and Hydrology.

The working group "Urban and Eco-Climatology" focusses on spatial and temporal scale interactions between natural and man-made ecosystems and the atmosphere: measurement of energy, water and GHG exchange between biosphere and atmosphere, development of methods for analysing micro-meteorological measurements, turbulence-resolving modelling of exchange processes in the atmospheric boundary layer, urban climate, impact of flash floods on urban communities, and meteorological basics of wind energy conversion. Further information Urban and Ecoclimatology.

The research group “Hydrometeorological Sensing and Machine Learning” works at the intersection of hydrometeorology and data science, focusing on large remote sensing datasets, novel opportunistic sensors, weather model output and machine learning methods. The main goal is to provide more accurate high-resolution rainfall information to allow for better warning and decision making in particular in regions with scarce traditional observation networks in the Global South. Further information Hydrometeorological Sensing and Machine Learning.