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Data assimilation in the geosciences

Research topic:

We aim to advance the modelling and parameterization of dynamical processes in meteorology, particularly by exploiting the optimal fusion of extensive observational datasets with computational modelling. We have a particular interest in processes occurring in the atmospheric boundary layer and how those affect the weather and climate system. This includes studying energy and mass exchange processes across scales in the atmosphere, as well as understanding near-surface dynamical processes. We also study how the atmosphere organizes in different flow regimes with distinct dynamical characteristics, what leads to regime transitions, and how different flow regimes impact exchange processes.

 

Projects:

 

Some recent publications: