Prof. Dr. Veronika Eyring
ELLIS unit Jena, Associated member
Fellow of the ELLIS fellow program „Machine Learning for Earth and Climate Science“
Head of the “Earth System Model Evaluation and Analysis” Department at the German Aerospace Center (DLR) Institute of Atmospheric Physics and Professor of Climate Modelling at the University of Bremen
Veronika Eyring is Head of the Earth System Model Evaluation and Analysis Department at the DLR Institute of Atmospheric Physics and Professor of Climate Modelling at the University of Bremen. She maintains a strong collaboration with the National Center for Atmospheric Research (NCAR, USA) as Affiliate Scientist, with the DLR Causal Inference Group in Jena that she founded in 2017, and with the team of the European Research Council (ERC) Synergy Grant on „Understanding and Modelling the Earth System with Machine Learning (USMILE)„. Her research focuses on understanding and modelling the Earth system with machine learning to improve climate projections and technology assessments for actionable climate science. She has extensive experience in leading large international research projects, e.g. in her role as Chair of the World Climate Research Programme (WCRP) Coupled Model Intercomparison Project (CMIP) Panel (2014-2020). Veronika has authored many peer-reviewed journal articles and has contributed to the IPCC climate assessments since many years, including her role as Coordinating Lead Author for Chapter 3 “Human influence on the climate system” in the IPCC Sixth Assessment Report of Working Group I published in 2021. She is Fellow of the European Lab for Learning & Intelligent Systems (ELLIS) since 2019, Member of the Scientific Advisory Board of Worldfund since 2022, and actively involved in WCRP activities for many years. Veronika received the Gottfried Wilhelm Leibniz Prize in 2021 for her significant contributions to improving the understanding and accuracy of climate projections through process-oriented modeling and model evaluation.
List of Publications: Google Scholar