Kemisola Adeniyi*

• Affiliation: University of Bremen, DLR
• PhD Researcher – WP3
• Causal model evaluation and analysis of droughts.

Gunnar Behrens

• Affiliation: DLR & CU
• PhD Researcher – WP2
• Machine learning based parametrizations of sub-grid-scale processes in climate models to enhance understanding on convection and its predictability.

Kevin Debeire

• Affiliation: DLR (Oberpfaffenhofen & Jena)
• PhD Researcher – WP3
• Causal discovery methods for climate model evaluation and for constraining uncertaninty in climate projection.

Dr. Evgenia Galytska*

• Affiliation: University of Bremen, DLR
• Research Scientist – WP3
• Understanding Arctic-midlatitude teleconnections in CMIP6 models using causal networks.

Arthur Grundner

• Affiliation: DLR & CU
• PhD Researcher – WP2
• Improvement of cloud parameterizations in a climate model by utilizing high-resolution data for the training of machine learning parameterizations.

Dr. Fernando Iglesias-Suarez

• Affiliation: DLR
• Postdoctoral Researcher – WP2
• Developing and applying machine learning techniques to advance climate models and analysis, understanding links and interactions with other parts of the Earth system to address the scientific challenges of global change.
• Personal webpage

Arndt Kaps

• Affiliation: DLR
• PhD Researcher – WP1
• Machine learning based approaches to evaluate clouds in climate models to leverage the information available from satellites and bridge the gap to model data.

Soufiane Karmouche*

• Affiliation: University of Bremen, DLR
• PhD Researcher – WP3
• Investigating teleconnections between major modes of climate variability with causal discovery.

Dr. Rémi Kazeroni

• Affiliation: DLR
• Research Software Engineer – WP1-4
• Technical development of the ESMValTool and of machine learning techniques in the ESMValTool framwork.

Aytaç Paçal

• Affiliation: DLR
• PhD Researcher – WP3
• Detecting and understanding extreme weather events using machine learning.

Talytha Pereira

• Affiliation: DLR, University of Bremen
• PhD Researcher – WP4
• Machine Learning-based constraints of climate feedbacks and projections using causal models.

Manuel Schlund

• Affiliation: DLR
• PhD Researcher – WP4
• Constraining uncertainties in climate model projections with machine learning methods.

Dr. Mierk Schwabe

• Affiliation: DLR
• Research Scientist – WP2
• Parameterizations of atmospheric gravity waves in climate models based on machine learning.

Breixo Soliño Fernández

• Affiliation: DLR
• Research Software Engineer – WP1-4
• Research Software Engineering for Artificial Intelligence topics.
• Personal webpage

Dr. Katja Weigel*

• Affiliation: University of Bremen, DLR
• Research Scientist – WP3
• Analysis and detection of extreme events with the focus on droughts in climate model and reanalysis data using classical indices as well as testing new tool like the Maximal Divergent Interval (MDI) algorithm.