2021-03-04 09:20 |
[FZJ-2021-01272]
Abstract
Betancourt, C. ; Stadtler, S. ; Stomberg, T. ; et al
Global fine resolution mapping of ozone metrics through explainable machine learning
2021EGU General Assembly 2021, vEGU21, OnlineOnline, Online, 19 Apr 2021 - 30 Apr 20212021-04-192021-04-30
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° x 0.1° resolution grid [...]
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2021-01-25 13:18 |
[FZJ-2021-00761]
Abstract
Gong, B. ; Stadtler, S. ; Langguth, M. ; et al
Deep learning for short-term temperature forecasts with video prediction methods
2020European Geosciences Union 2020, EGU2020, VirtualVirtual, Austria, 4 May 2020 - 8 May 20202020-05-042020-05-08
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. [...]
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2021-01-25 12:05 |
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2021-01-25 11:58 |
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2021-01-25 11:37 |
[FZJ-2021-00738]
Abstract
Mozaffari, A. ; Schröder, S. ; Apweiler, S. ; et al
FAIRness in the multi-service data infrastructure of the Tropospheric Ozone Assessment Report (TOAR) and Artificial Intelligence for Air Quality (IntelliAQ) project
2020RDA 15th Plenary Meeting / Online, RDA-15, MelbourneMelbourne, Australia, 18 Mar 2020 - 20 Mar 20202020-03-182020-03-20
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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2021-01-25 11:33 |
[FZJ-2021-00736]
Abstract
Mozaffari, A. ; Schröder, S. ; Apweiler, S. ; et al
FAIRness in the multi-service data infrastructure of the Tropospheric Ozone Assessment Report (TOAR) and Artificial Intelligence for Air Quality (IntelliAQ) project
2020RDA Deutschland Tagung 2020, BerlinBerlin, Germany, 25 Feb 2020 - 27 Feb 20202020-02-252020-02-27
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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2020-12-17 13:30 |
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2020-11-23 17:19 |
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2020-11-23 11:39 |
[FZJ-2020-04717]
Abstract
Unterberg, B. ; Kreter, A. ; Linsmeier, C. ; et al
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
202031st Symposium on Fusion Technology (SOFT 2020), DubrovnikDubrovnik, Kroatien, 20 Sep 2020 - 25 Sep 20202020-09-202020-09-25
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 [...]
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2020-11-23 10:58 |
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