Veronika Eyring

Prof. Dr. habil. Veronika Eyring

Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
Institut für Physik der Atmosphäre (IPA)
Oberpfaffenhofen
82234 Weßling, Germany
Phone:  +49-8153-28-2533 
E-Mail: veronika.eyring[at]dlr.de
https://www.dlr.de/en

ORCID iD: orcid.org/0000-0002-6887-4885

Professor and Chair of Climate Modelling

University of Bremen
Institute of Environmental Physics (IUP)
Otto-Hahn-Allee 1
28359 Bremen, Germany
Phone:  +49-421-218-62733
http://www.iup.uni-bremen.de/

Scopus Author ID: 13402933200
ResearcherID: O-9999-2016
Google Scholar: see here

Curriculum Vitae

Education

2008

Habilitation in Environmental Physics at the University of Bremen, Germany 

1999

PhD in Physics from the University of Bremen, Germany

1994

Diploma in Physics from the University of Erlangen, Germany

Current positions and affiliations

Since 2018

Head of Department “Earth System Model Evaluation and Analysis”, DLR-IPA

Since 2017

W3 Professor and Chair of Climate Modelling, University of Bremen, Bremen, Germany

Since 2017

Founder and Scientific Supervisor “Climate Informatics” Group, DLR Institute for Data Science, Jena, Germany

Since 2013

Affiliate Scientist National Center for Atmospheric Research (NCAR), Boulder, USA

Previous positions, calls and sabbaticals

2000 – 2018

Research Scientist at DLR-IPA (Senior Scientist since 2009)

2010 – 2017

Priv-Doz., Ludwig-Maximilians-University (LMU) Munich, Germany

2013 – 2016

Honorary Visiting Professor at University of Exeter, UK

04-05 / 2013

Visiting Scientist at NCAR, Boulder, CO, USA

08-11 / 2011

Visiting Scientist at NCAR, Boulder, CO, USA

2009 – 2012

Visiting Professor at the Manchester Metropolitan University, UK

2008 – 2010

Priv-Doz., Institute of Environmental Physics, University of Bremen, Germany

1995 – 1999

Research Scientist, Institute of Environmental Physics, University of Bremen

Fellowships and awards

2019

European Research Council (ERC) Synergy Grant „Understanding and Modelling the Earth System with Machine Learning

2015

Top female researchers award, Professorship programme, Helmholtz-Society

2009

Senior Scientist nomination at DLR

2008

Dobson Award for Young Scientists granted by the International Ozone Commission

2004 – 2010

Helmholtz Society Scholarship for Young Investigators Group 

1991 – 1992

ERASMUS Scholarship to study Physics at the University of York, UK

Teaching activities (each course includes 14-16 individiual lectures of 1.5 hours each and a final exam)

Since 2018

Climate Modelling Part 2, University of Bremen, Bremen, Germany (UBremen)

Since 2017

Climate Modelling Part 1, University of Bremen, Bremen, Germany (UBremen)

2011 – 2015

Introduction to Global Atmospheric Modelling, LMU, Munich, Germany

2009 – 2010

Introduction to Global Atmospheric Modelling: Part 1 & 2 2009/2010, UBremen

2005 / 2006

Tropospheric Chemistry, UBremen

2005

Molecular Physics, UBremen

2004 / 2005

Climate and Chemistry, UBremen

2004

Introduction to Atmospheric Modelling, UBremen

Areas of Expertise

Professional Activities

Supervisor for Students and PostDocs

  • Currently supervising
    • Master students:
    • PhD students:
      1. Aoife McQuaid (DLR & TUM), „ML-based Chemistry emulation for improved aerosol-cloud interactions“, since 10/2025
      2. Timo Maier (DLR & TUM), „Foundation models and uncertainty quantification (Learning dynamic subgrid-scale processes)“, since 03/2025
      3. Markus Klassen (UB & DLR, co-supervised by Prof Pierre Gentine), „Learning shallow clouds and turbulence from Earth observations and high-resolution models with machine learning and equation discovery“, since 02/2025
      4. Jurij Schönfeld (UB & DLR), „Developing ML-based parametrizations for high-resolution climate models“, since 02/2025
      5. Santiago Castillo (DLR & TUM), „​Towards a Stochastic-QML-based parametrization for convection“, since 12/2024
      6. Joschka Herteux (UB & DLR, co-supervised by Prof Pierre Gentine), (Q)ML-based large ensembles and extremes, since 10/2024
      7. Alexander Häbel (DLR & TUM), „Quantum solution for differential equations in climate models“, since 10/2024
      8. Max Bouman (DLR & TUM), „​ML-based automatic tuning land-atmosphere“, since 11/2023
      9. Diajeng Atmojo (UB, co-supervised by Prof Thomas Jung), „ML-based sea ice parametrizations for ICON“, since 09/2023
      10. Janis Klamt (DLR, co-supervised by Prof Pierre Gentine), „ML-based parameterizations for ICON“, since 05/2023
      11. Elias Haslauer (DLR & TUM), „​ML-based gravity waves parameterization“, since 03/2023
      12. Birgit Kühbacher (DLR & TUM, co-supervised by Prof Niki Kilbertus), „Development of causal neural networks to improve climate models“, since 01/2023
      13. Ellen Sarauer (DLR & UB, co-supervised by Prof Pierre Gentine), „ML-based parameterizations for ICON“, since 01/2023
      14. Lukas Lindenlaub (UB), „Machine learning based analysis and detection of droughts in climate projections“, since 04/2022
      15. Katharina Hafner (UB, co-supervised by Prof Pierre Gentine), „ML-based parameterizations for ICON“, since 02/2022
      16. Helge Heuer (DLR & UB, co-supervised by Prof Pierre Gentine), „ML-based parameterizations for ICON“, since 02/2022
    • PostDocs
      1. Dr Aytaç Paçal, (DLR) „ML-based understanding and detection of extreme events“, since 10/2025
      2. Dr Hedwig Keller (DLR) „Shadow Models“, since 03/2025
      3. Dr Giulia Castellani (UB), since 02/2025
      4. Dr Kevin Debeire (DLR) „ICON-XPP ML-Parametrizations and ML-based Downscaling“, since 01/2025
      5. Dr Nils Klement (DLR) „Quantum Computing PDEs“, since 07/2024
      6. Dr Gunnar Behrens (UB) „ML-based stochastic parametrizations for ICON-XPP“, since 06/2024
      7. Dr Bettina Gier (UB) „ESMValTool technical / HybridESM-Bench“, since 06/2024
      8. Dr Arthur Grundner (DLR) „Equation discovery and tuning“, since 02/2024
      9. Dr Jan-Hendrik Malles (UB) „ML climate“, since 08/2023
      10. Dr Lena Dogra (DLR) „ML Climate“, since 06/2023
      11. Dr Pauline Bonnet (DLR) „ML-based automatic model tuning for ICON“, since 02/2022
      12. Dr Evgenia Galytska (UB) “Causal model evaluation“, since 12/2019
    • Research scientists in the Department:
      1. Dr Julien Savre-Piou (DLR) „ICON-XPP-ML / Shallow Clouds across scales“, since 06/2024
      2. Dr Manuel Schlund (DLR) “Observationally-based constraints of climate feedbacks and projections”, since 03/2024
      3. Dr Birgit Hassler (DLR), “CMIP model evaluation and ESMValTool development“, since 09/2017
      4. Dr Lisa Bock (DLR) “CMIP model evaluation and ESMValTool development“, since 07/2016
      5. Dr Axel Lauer (DLR), “CMIP model evaluation and ESMValTool development“, since 01/2015
      6. Dr Mierk Schwabe (DLR), “ML-based parameterizations for ICON“, since 06/2021
      7. Dr Katja Weigel (UB), “CMIP model evaluation and ESMValTool development, ML for the detection and understanding of droughts“, since 07/2018
    • Research Software Engieers in the Department:
  • Previous supervision Climate Assessment Reports

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