معرفی
Roland Potthast is a Full Professor for Applied Mathematics at the University of Reading and Director of Meteorological Analysis and Modeling at the German Weather Service (DWD). His roles include leading the FE1 department at DWD, responsible for numerical weather prediction (NWP), Earth System Models (ESM), and the ICON model development. He holds a PhD and Habilitation from the University of Göttingen and has held academic positions at institutions such as the University of Reading, Research Center Jülich, and Université de Rennes.
His research focuses on inverse problems, data assimilation, and numerical weather prediction. Key areas include the development of high-resolution models like ICON, ensemble data assimilation methods, and applications in climate science and renewable energy. He has contributed to projects like the ESM initiative with GeoInfoDienst BW and the BeCoM Project (EU-funded).
Publications span advancements in data assimilation techniques, particle filters, and applications of machine learning in weather forecasting. Awards include the Pichorides Lectureship and grants from DFG, EPSRC, and Volkswagen Foundation.
Potthast leads interdisciplinary teams at DWD and collaborates with international organizations like ECMWF and the German Climate Computing Center (DKRZ). His work bridges operational weather modeling and academic research, emphasizing seamless prediction systems and digital twins.
