Abstracts

Through the availability of multi-year ground based ozone observations on a global scale, substantial geospatial meta data, and high performance computing capacities, it is now possible to use machine learning for a global data-driven ozone assessment. In this presentation, we will show a novel, completely data-driven approach to map tropospheric ozone globally.</p><p>Our goal is to interpolate ozone metrics and aggregated statistics from the database of the Tropospheric Ozone Assessment Report (TOAR) onto a global 0.1&#176; x 0.1&#176; resolution grid [...]

This study explores the adaptation of state-of-the-art deep learning architectures for video frame prediction in the context of weather and climate applications. A proof-of-concept case study was performed to predict surface temperature fields over Europe for up to 20 hours based on ERA5 reanalyses weather data. [...]

AbstractThe characteristics of a polymer electrolyte membrane (PEM) are crucial for the success of PEM based fuel cells and electrolyzers. Membranes play a significant role regarding ohmic losses, fuel permeability and mechanical stability [...]

Containers stock a single package of a code along with its dependencies so it can run reliably and efficiently in different computing environments. They promise the same level of isolation and security as a virtual machine and a higher degree of integration with the host operating system (OS). [...]

IntelliAQ is a European project aiming to develop novel approaches for the analysis and synthesis of global air quality data based on deep neural networks. A core element of the project’s strategy is the linkage of several different types of data, including time-series of air quality observations, high-resolution geospatial data, high-resolution weather model data, and satellite retrievals of air pollutants. [...]

IntelliAQ is a European project aiming to develop novel approaches for the analysis and synthesis of global air quality data based on deep neural networks. A core element of the project’s strategy is the linkage of several different types of data, including time-series of air quality observations, high-resolution geospatial data, high-resolution weather model data, and satellite retrievals of air pollutants. [...]

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New approaches for magnetic diagnostic of future fusion devicesI. Ďuran1, S. [...]

Impact of synergistic heat and particle loads on plasma-facing materials - new capabilities to include the impact of neutron damage on lifetime and fuel retention Bernhard Unterberg, Arkadi Kreter, Christian Linsmeier, Dirk Nicolai, Gerald Pintsuk, Lothar Scheibl, Marius Wirtz and Miroslaw ZlobinskiInstitut für Energie- und Klimaforschung – Plasmaphysik, Forschungszentrum Jülich, Trilateral Euregio Cluster, D- 52425 Jülich, GermanyMaterial damage due to transient heat loads limits the lifetime of plasma facing components. Both the combined plasma impact and associated hydrogen embrittlement and as well as neutron damage further deteriorate the thermo-mechanical properties of plasma facing materials [...]

Sputtering resistance of single crystal rhodium mirrors with different crystal orientations A. Litnovsky1,2, F. [...]