Lars Nerger

Lars Nerger is the Head of the Data Assimilation Team within the Computing and Data Centre at the Alfred Wegener Institute (AWI). He specializes in Earth system data assimilation, focusing on ensemble filter algorithms and high-performance computing. His work integrates advanced computational methods with climate and ocean modeling to improve predictive capabilities.

Research interests include ensemble Kalman filtering, non-linear systems, and scientific computing frameworks. He leads the development of the Parallel Data Assimilation Framework (PDAF), a widely used open-source tool for data assimilation in geoscience applications. His contributions enhance model accuracy in oceanography, climate dynamics, and cryosphere studies.

Recent articles highlight advancements in data assimilation for ocean biogeochemistry, coupled climate models, and sea ice prediction systems. Collaborations span atmospheric chemistry, paleoclimatology, and environmental monitoring, reflecting his interdisciplinary impact. His team’s work supports operational forecasting and scientific understanding of Earth’s complex systems.