Meet our scientists
“Our research makes data, simulations visible. Visual Analytics combines interactive visualization and data analysis for understanding and presentation of data.CESOC offers many cooperation possibilities and open problems that can be solved using interactive visualization and visual analytics methods.”
“We are working in a field which we like to call Computational Geodesy. There, we are using methods and concepts from mathematics, statistics and informatics for the spatial and/or temporal analysis of large dimensional stochastic earth observation data. So far we focused on geodetic data sets, but we are interested in applying our approaches in more applications from geoscience. For this, the CESOC network is the perfect framework to establish new collaborations.”
“I am working on parallel algorithms to build and modify adaptively refined meshes at extreme scales, both in reference to the size of the supercomputer used and to the disparity of scales that arises in geophysical simulations. These algorithms are implemented and shared with the community via the p4est free software library that I have been lead authoring since 2007.
Within the CESOC initiative, my goal is to contribute theoretical and computational know-how on the efficient management of adaptive simulation topologies, mesh-related information, and geolocated data over general space partitions.”
“How do clouds evolve in a future climate? To answer this important question, we first need to understand the processes that lead to the formation, development and dissipation of clouds, in detail. Enormous progress has been made in recent years – due in part to new remote sensing methods from the ground, airplanes and satellites. Soon, a new generation of meteorological satellites will provide increasingly detailed insights into the complexity of clouds across the globe.
CESOC offers exciting opportunities to explore new paths for exploiting these novel data in a concerted action between computer science, earth sciences and mathematics jointly with people from observations and modelling.”
“CESOC is a great place for knowledge transfer. In my research, I focus on algorithmic techniques for geometric data analysis. I believe, algorithms research can open up new frontiers in climate science by providing tailored algorithmic techniques to attack computationally intractable problems. At the same time, the exchange with climate science researchers can bring to light fundamental algorithmic problems that are relevant in practice and require the development of new theory. Thus, CESOC feeds the development cycle and knowledge transfer between algorithmic theory and practice.”
„Software of all forms has become an essential and critical asset in scientific progress. We work on concepts, methods, and tools that help scientists in CESOC develop reliable, reproducible, and correct software.”
“We work on the construction, analysis and efficient implementation of adaptive high-order numerical methods for solving advection dominated problems with a special focus on accurate prediction of turbulent flows. We develop our own open-source simulation software for instance in the novel programming language Julia Trixi.jl (github.com/trixi-framework/Trixi.jl). In particular, we are interested in high-performance computing and the effective use of massively parallel supercomputers (github.com/project-fluxo/fluxo).CESOC is a great opportunity to collaborate with researchers from earth systems science to assess the requirements for effective numerical models in this research area to enable the transfer of our novel mathematical schemes and tools.”
“Predictions for the terrestrial water and energy cycle are of immense societal relevance. We develop complex models of the terrestrial system in HPC environments with extreme temporal and spatial resolution. With data assimilation techniques using in-situ and remote sensing observations we improve the models. Still, the development poses a big scientific and technological challenge – we address this challenge in the Centre for High-Performance Scientific Computing in Terrestrial Systems (HPSC TerrSys), with colleagues and students from the Geoverbund ABC/J. CESOC, together with ECMWF scientists and HPSC TerrSys generates enormous potential for synergies and innovation.”
“We conduct research on the next generation atmospheric observing approaches to enable the study of atmospheric processes at unprecedented spatial and temporal scales to provide the foundational knowledge to significantly improve Earth’s weather and climate predictability. Our group is interested in the practical use of distributed observational networks, agile adaptive sensing techniques, and the optimization of model–experiment (MODEX) systems for experimental and instrument design and model verification. CESOC offers access to resources and expertise in the areas of high-performance computing, big data, and ML/AI techniques, elements critical for achieving our scientific objectives.”
“Satellite geodesy provides unique observations of climate change and Earth system processes. Our group works on new methods for measuring the Earth’s gravity field and its variations in space and time, hydrological mass redistribution and crustal deformation, sea surface topography, inland water levels and sea level change, and variations in thermospheric density in response to solar forcing.
CESOC is a great place to collaborate with modellers and with data scientists, to pursue the integration of these data with numerical models. It will be instrumental in educating a new generation of scientists.”
“CESOC is a great opportunity for exciting research at the interface of data analytics, algorithms, and optimization.
This perfectly fits with my research interests, the design, development, theoretical analysis and practical evaluation of new algorithms for combinatorial optimization problems on data that can be modeled as graphs or networks.In our cooperations within CESOC, we focus on the computational analysis of large amounts of spatio-temporal data.”
“Our investigation in Jülich focus on global interactions of air quality and climate. The Asian monsoon circulation plays a crucial role here, because it transports heavily polluted air masses from the South-East Asian boundary layer into the global stratosphere.
In CESOC we cooperate with the University of Cologne to obtain an improved understanding of the source regions for transport of pollutants by the monsoon circulation by combining Lagrangian transport techniques with visual analyses.”
“Remote sensing observations play an important role in the geo- and bioscientific community, since they enable an accurate monitoring of the Earth and its changes. In combination with machine learning, we are able to extract patterns from the data and gain a better understanding of geo- and biophysical phenomena. CESOC provides an excellent platform for different disciplines such as remote sensing and machine learning to come together and get interdisciplinary projects started.”
“We work on new methods to combine various types of in-situ satellite data and telescope observations with three-dimensional numerical models of the environments of the moons and planets in order to constrain their interior and to search for subsurface oceans.
CESOC is a great environment for these studies as the combination of data and computational analysis is at the core of the center.”
“In the Computer Vision group at IAS-8 in Jülich, our research addresses theory and algorithms for the analysis of image-based data. We use data-driven machine learning as well as modelling-based methods, develop them further and bring them into application. Initially focusing on plant science applications and close range remote sensing in previous research, in CESOC we want to explore the adaptation of computer vision techniques to the fascinating remote sensing data of Earth system observation.”
“I am fascinated by large-scale dynamical processes and interactions in the Earth system, particularly those pertaining to the ocean. Together with my students, I study variability in ocean bottom pressure, sea level, and tides using numerical models and observations, including the tools of space geodesy. CESOC is a welcome platform for fostering collaboration and improving my computational approaches.”
“My work is situated at the interface between Earth system science, supercomputing and data science. Specifically, we investigate the potential of state-of-the-art deep learning concepts for air quality and weather analysis and prediction. JSC is a great place to carry out multi-facetted research activities, in my case also co-leading the international initiative to assess the distribution and trends of ozone in the troposphere and spearheading FAIR data and open science principles. I am also very interested in developing new concepts for Earth system model workflows, which will enable the community to make efficient use of upcoming exascale supercomputers. CESOC provides excellent opportunities to connect with many great scientists in the region and exchange ideas about a wide range of interesting and cutting-edge topics.”
“How can we extract information from very large networks? Can we maintain meaningful summaries of streaming data? How can we partition extremly large data sets into clusters? In our research group we develop and analyze new algorithms to solve these problems. CESOC provides exciting opportunities to work with great colleagues on important problems in earth system sciences that deal with very large data sets.”
“As a meteorologist working in a satellite geodesy team, I benefit from the collaboration with data specialists of different areas of expertise – we are excellently linked to Helmholtz institutions like the Alfred-Wegener Institute and the Jülich Supercomputing Centre.”
“Forschungszentrum Jülich with world-class infrastructures is an ideal place to conduct my research on simulating the atmospheric fate of the aerosols and quantifying their gigantic impact on Earth’s energy balance and human health. My research strongly benefits from access to the Jülich Supercomputing Centre which operates two of the most powerful supercomputers in the world.”
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