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dc.contributor.author
Leutwyler, David
dc.contributor.author
Fuhrer, Oliver
dc.contributor.author
Lapillonne, Xavier
dc.contributor.author
Lüthi, Daniel
dc.contributor.author
Schär, Christoph
dc.date.accessioned
2019-05-08T08:07:01Z
dc.date.available
2017-06-12T13:14:07Z
dc.date.available
2019-05-08T08:07:01Z
dc.date.issued
2016-09-21
dc.identifier.issn
1991-9603
dc.identifier.issn
1991-959X
dc.identifier.other
10.5194/gmd-9-3393-2016
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/120961
dc.identifier.doi
10.3929/ethz-b-000120961
dc.description.abstract
The representation of moist convection in climate models represents a major challenge, due to the small scales involved. Using horizontal grid spacings of O(1km), convection-resolving weather and climate models allows one to explicitly resolve deep convection. However, due to their extremely demanding computational requirements, they have so far been limited to short simulations and/or small computational domains. Innovations in supercomputing have led to new hybrid node designs, mixing conventional multi-core hardware and accelerators such as graphics processing units (GPUs). One of the first atmospheric models that has been fully ported to these architectures is the COSMO (Consortium for Small-scale Modeling) model. Here we present the convection-resolving COSMO model on continental scales using a version of the model capable of using GPU accelerators. The verification of a week-long simulation containing winter storm Kyrill shows that, for this case, convection-parameterizing simulations and convection-resolving simulations agree well. Furthermore, we demonstrate the applicability of the approach to longer simulations by conducting a 3-month-long simulation of the summer season 2006. Its results corroborate the findings found on smaller domains such as more credible representation of the diurnal cycle of precipitation in convection-resolving models and a tendency to produce more intensive hourly precipitation events. Both simulations also show how the approach allows for the representation of interactions between synoptic-scale and meso-scale atmospheric circulations at scales ranging from 1000 to 10km. This includes the formation of sharp cold frontal structures, convection embedded in fronts and small eddies, or the formation and organization of propagating cold pools. Finally, we assess the performance gain from using heterogeneous hardware equipped with GPUs relative to multi-core hardware. With the COSMO model, we now use a weather and climate model that has all the necessary modules required for real-case convection-resolving regional climate simulations on GPUs.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Towards European-scale convection-resolving climate simulations with GPUs: a study with COSMO 4.19
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
Geoscientific Model Development
ethz.journal.volume
9
en_US
ethz.journal.issue
9
en_US
ethz.journal.abbreviated
Geosci. model dev.
ethz.pages.start
3393
en_US
ethz.pages.end
3412
en_US
ethz.size
20 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03360 - Schär, Christoph / Schär, Christoph
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02717 - Institut für Atmosphäre und Klima / Inst. Atmospheric and Climate Science::03360 - Schär, Christoph / Schär, Christoph
ethz.date.deposited
2017-06-12T13:15:15Z
ethz.source
ECIT
ethz.identifier.importid
imp593654bd8ec1a85274
ethz.ecitpid
pub:183044
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-15T08:47:15Z
ethz.rosetta.lastUpdated
2019-05-08T08:07:21Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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