Team
Martin Schultz
Martin Schultz worked as chemistry-climate modeller for many years. He leads a research group on Earth System Data Exploration at Juelich Supercomputing centre, where he develops modern scientific workflow and deep learning concepts for air quality and weather applications.
Catrin Meyer
Catrin Meyer is a research scientist in the Simlab Climate at the research centre Jülich. She is managing the PilotLab ExaESM.
Lars Hoffmann
Lars Hoffmann is working on the development of ESM dwarfs and separation of concerns. In particular, he is interested in optimizing atmospheric chemistry transport models for next-generation HPC systems
Helge Mohn
Helge Mohn is a PhD student at the Alfred Wegener Institute Potsdam and in cooperation with the Center for Industrial Mathematics (ZeTeM) at the University of Bremen. He researches machine learning methods and applies them in the field of atmospheric physics.
Daniel Kreyling
Daniel Kreyling is a PostDoc in the field of atmospheric-chemistry modelling at the Alfred Wegener Institute Potsdam. He is developing numerically efficient chemistry schemes for application in climate modeling.
Astrid Kerkweg
Astrid Kerkweg is one of the core developers of the Modular Earth Submodel System (MESSy). In PL-ExaESM WP1 she is developing the Atmospheric Chemistry DWARF as integral part of MESSy.
Domenico Taraborrelli
Understanding atmospheric oxidation of trace gases and its interaction with weather and climate by means of multiphase chemical kinetic modelling at global scale.
Kerstin Hartung
My name is Kerstin Hartung and by training I am a meteorologist and climate scientist. I have been employed with the DLR (in the group on Earth-System modelling) since May 1st and am mainly working for the ExaESM Pilot Lab. As part of Topic 1 I am working on porting the photolysis code of the MESSy model to GPUs. In Topic 2 we want to implement parallel and asynchronous writing of data in MESSy to speed up the simulation in another way.
Jonas Thies
Dr. Jonas Thies is a group leader in parallel numerics at DLR’s institute of software technology (https://www.DLR.de/sc/). He contributes knowledge in designing exa-scale capable libraries for sparse linear algebra and mesh management to the Pilot-Lab and has previously contributed numerical and HPC expertise to the fields ocean- and ice-modelling.
Thomas Fischer
Dr. Thomas Fischer has been working as a scientific software developer at the Department of Environmental Informatics at the Helmholtz Centre for Environmental Research since 2010. As one of the core developers of OpenGeoSys his research interest are related to robust and efficient numerical software and high performance computing.
Tobias Meisel
Tobias Meisel is a software developer at the Department of Environmental Informatics at the Helmholtz Centre for Environmental Research. As part of the OpenGeoSys core development team his research contributes to efficient parallel algorithms for file I/O.
Robert sausen
Johannes Holke
As lead developer of the adaptive mesh refinement library t8code, Johannes is concerned with integrating AMR capabilities into the MESSy framework and extending current simulations to using dynamic adaptive meshes.
Thomas Jung
Prof Thomas Jung in an expert in climate analysis, modelling and prediction from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research in Germany. Prof Jung coordinates major research projects such as APPLICATE, which is funded through the Horizon2020 program, and Advanced Earth System Modelling Capacity, which is funded through the Helmholtz Association.
Jörg Meyer
Research topics: data intensive computing and applications from climate and environmental science.
Jan Hegewald
Dr.-Ing. Jan Hegewald is an expert in high performance computing and software architecture design. His current position is in the Climate dynamics section at the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research in Germany.
Martin Claus
Martin Claus is the Leader of topic 4. He develops interactive Data Analysis Workflows on HPC Systems.
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