The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale
View DatasetMüller, Andreas;Deconinck, Willem;Kühnlein, Christian;Mengaldo, Gianmarco;Lange, Michael;Wedi, Nils;Bauer, Peter;Smolarkiewicz, Piotr K.;Diamantakis, Michail;Lock, Sarah-Jane;Hamrud, Mats;Saarinen, Sami;Mozdzynski, George;Thiemert, Daniel;Glinton, Michael;Bénard, Pierre;Voitus, Fabrice;Colavolpe, Charles;Marguinaud, Philippe;Zheng, Yongjun;Van Bever, Joris;Degrauwe, Daan;Smet, Geert;Termonia, Piet;Nielsen, Kristian P.;Sass, Bent H.;Poulsen, Jacob W.;Berg, Per;Osuna, Carlos;Fuhrer, Oliver;Clement, Valentin;Baldauf, Michael;Gillard, Mike;Szmelter, Joanna;O'Brien, Enda;McKinstry, Alastair;Robinson, Oisín;Shukla, Parijat;Lysaght, Michael;Kulczewski, Michał;Ciznicki, Milosz;Pia̧tek, Wojciech;Ciesielski, Sebastian;Błażewicz, Marek;Kurowski, Krzysztof;Procyk, Marcin;Spychala, Pawel;Bosak, Bartosz;Piotrowski, Zbigniew;Wyszogrodzki, Andrzej;Raffin, Erwan;Mazauric, Cyril;Guibert, David;Douriez, Louis;Vigouroux, Xavier;Gray, Alan;Messmer, Peter;Macfaden, Alexander J.;New, Nick
Description
Data and figures presented in the paper "The ESCAPE project: Energy-efficient scalable algorithms for weather prediction at exascale". The discussion paper is available at: https://doi.org/10.5194/gmd-2018-304
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Publication Details
DOI
Publisher
Zenodo
Subfield
Atmospheric Science
Field
Earth and Planetary Sciences
Domain
Physical Sciences
Confidence Score
98%
Source
Open Alex