Scholar
Veronika Eyring
Google Scholar ID: Y3i87foAAAAJ
Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / University of Bremen
Citations & Impact
Citations
42,157
H-index
61
i10-index
138
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Authored many peer-reviewed journal articles; contributed to the Intergovernmental Panel on Climate Change (IPCC) assessments for 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; corresponding PI of the European Research Council (ERC) Synergy Grant on “Understanding and Modelling the Earth System with Machine Learning (USMILE)”; received the German Research Foundation (DFG) Gottfried Wilhelm Leibniz Prize in 2021; awarded the AGU Ambassador Award and inducted into the group of AGU Fellows in 2024, recognizing her outstanding contributions to climate science, the research community, and society; appointed as TUM Distinguished Affiliated Professor by the Technical University of Munich (TUM) in 2024.
Research Experience
- Serves as Head of the Earth System Model Evaluation and Analysis Department at the DLR Institute of Atmospheric Physics; holds the position of Professor of Climate Modelling at the University of Bremen; has been involved in the World Climate Research Programme (WCRP) for many years, including serving as Chair of the Coupled Model Intercomparison Project (CMIP) Panel (2014-2020) and member of scientific steering committees such as the Working Group on Coupled Modeling (WGCM) from 2008-2018; maintains a strong collaboration with the National Center for Atmospheric Research (NCAR) as an Affiliate Scientist.
Education
- No specific educational background information provided.
Background
- 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. Her research focuses on improving climate models and projections with machine learning and spaceborne Earth observations for actionable climate science and technology assessments in aeronautics, space, transport, and energy research.
Miscellany
- No specific information provided about personal interests or hobbies.
Co-authors