Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Langguth, Michael"'
Autor:
Lessig, Christian, Luise, Ilaria, Gong, Bing, Langguth, Michael, Stadtler, Scarlet, Schultz, Martin
The atmosphere affects humans in a multitude of ways, from loss of life due to adverse weather effects to long-term social and economic impacts on societies. Computer simulations of atmospheric dynamics are, therefore, of great importance for the wel
Externí odkaz:
http://arxiv.org/abs/2308.13280
Autor:
Kesselheim, Stefan, Herten, Andreas, Krajsek, Kai, Ebert, Jan, Jitsev, Jenia, Cherti, Mehdi, Langguth, Michael, Gong, Bing, Stadtler, Scarlet, Mozaffari, Amirpasha, Cavallaro, Gabriele, Sedona, Rocco, Schug, Alexander, Strube, Alexandre, Kamath, Roshni, Schultz, Martin G., Riedel, Morris, Lippert, Thomas
In this article, we present JUWELS Booster, a recently commissioned high-performance computing system at the J\"ulich Supercomputing Center. With its system architecture, most importantly its large number of powerful Graphics Processing Units (GPUs)
Externí odkaz:
http://arxiv.org/abs/2108.11976
Autor:
Rojas-Campos, Adrian1 (AUTHOR) rrojascampos@uos.de, Langguth, Michael2 (AUTHOR), Wittenbrink, Martin3 (AUTHOR), Pipa, Gordon1 (AUTHOR)
Publikováno v:
Geoscientific Model Development. 2023, Vol. 16 Issue 5, p1467-1480. 14p.
Autor:
Gong, Bing1 (AUTHOR) b.gong@fz-juelich.de, Langguth, Michael1 (AUTHOR), Ji, Yan1 (AUTHOR), Mozaffari, Amirpasha1 (AUTHOR), Stadtler, Scarlet1 (AUTHOR), Mache, Karim1 (AUTHOR), Schultz, Martin G.1 (AUTHOR)
Publikováno v:
Geoscientific Model Development. 2022, Vol. 15 Issue 23, p8931-8956. 26p.
Akademický článek
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Publikováno v:
Platform for Advanced Scientific Computing Conference 2022, PASC2022, Basel, Switzerland, 2022-06-27-2022-06-30
In light of the success of superresolution (SR) applications in computer vision, recent studies have started to develop statistical downscaling methods for meteorological data based on deep neural networks (DNNs). DNNs are attractive, because they ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3364::bde3879e6ebf5f49305f6d31f94950c1
https://hdl.handle.net/2128/31419
https://hdl.handle.net/2128/31419
Autor:
Schultz, Martin, Kleinert, Felix, Leufen, Lukas Hubert, Betancourt, Clara, Schröder, Sabine, Gong, Bing, Stadtler, Scarlet, Langguth, Michael, Mozaffari, Amirpasha
Publikováno v:
The project repository journal 12(1), 70-73 (2022). doi:10.54050/PRJ1218384
Artificial intelligence for air quality IntelliAQ is an ERC Advanced Grant project to explore the application of cutting-edge machine learning techniques to global air quality data in combination with high resolution geospatial and weather data. It c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb11b7ddea44e27b77041aae7ac1a99f
https://hdl.handle.net/2128/30686
https://hdl.handle.net/2128/30686
Publikováno v:
Living Planet Symposium 2022, LPS2022, Bonn, Germany, 2022-05-23-2022-05-27
Weather forecasts at high spatio-temporal resolution are of great relevance for industry and society. However, contemporary global NWP models deploy grids with a spacing of about 10 km which is too coarse to capture relevant variability in the presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3364::0f78b78bd30d216f780014b57aa44871
https://hdl.handle.net/2128/31393
https://hdl.handle.net/2128/31393
Publikováno v:
EGUsphere; 11/14/2022, p1-23, 23p
Publikováno v:
Second Symposium on Artificial Intelligence for Science, Industry and Society, AISIS 2021, online, Mexico, 2021-10-11-2021-10-15
Accurate weather predictions are highly demanded by society. This study explores the adaptation of state-of-the-art deep learning architectures for video frame prediction in the context of weather applications. Proof-of-concept case studies are perfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3364::6c9b99103064d671da8692157baca296
https://juser.fz-juelich.de/record/905743
https://juser.fz-juelich.de/record/905743