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dc.contributor.authorLawrence, Bryan N.
dc.contributor.authorRezny, Mike
dc.contributor.authorBudich, Reinhard
dc.contributor.authorBauer, Peter
dc.contributor.authorBehrens, Jörg
dc.contributor.authorCarter, Mick
dc.contributor.authorDeconinck, Willem
dc.contributor.authorFord, Rupert
dc.contributor.authorMaynard, Christopher
dc.contributor.authorMullerworth, Steven
dc.contributor.authorOsuna, Carlos
dc.contributor.authorPorter, Andrew
dc.contributor.authorSerradell, Kim
dc.contributor.authorValcke, Sophie
dc.contributor.authorWedi, Nils
dc.contributor.authorWilson, Simon
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2018-05-24T13:42:22Z
dc.date.available2018-05-24T13:42:22Z
dc.date.issued2018-05-08
dc.identifier.citationLawrence, B. N. [et al.]. Crossing the chasm: how to develop weather and climate models for next generation computers?. "Geoscientific Model Development", 8 Maig 2018, vol. 11, p. 1799-1821.
dc.identifier.issn1991-959X
dc.identifier.urihttp://hdl.handle.net/2117/117459
dc.description.abstractWeather and climate models are complex pieces of software which include many individual components, each of which is evolving under pressure to exploit advances in computing to enhance some combination of a range of possible improvements (higher spatio-temporal resolution, increased fidelity in terms of resolved processes, more quantification of uncertainty, etc.). However, after many years of a relatively stable computing environment with little choice in processing architecture or programming paradigm (basically X86 processors using MPI for parallelism), the existing menu of processor choices includes significant diversity, and more is on the horizon. This computational diversity, coupled with ever increasing software complexity, leads to the very real possibility that weather and climate modelling will arrive at a chasm which will separate scientific aspiration from our ability to develop and/or rapidly adapt codes to the available hardware. In this paper we review the hardware and software trends which are leading us towards this chasm, before describing current progress in addressing some of the tools which we may be able to use to bridge the chasm. This brief introduction to current tools and plans is followed by a discussion outlining the scientific requirements for quality model codes which have satisfactory performance and portability, while simultaneously supporting productive scientific evolution. We assert that the existing method of incremental model improvements employing small steps which adjust to the changing hardware environment is likely to be inadequate for crossing the chasm between aspiration and hardware at a satisfactory pace, in part because institutions cannot have all the relevant expertise in house. Instead, we outline a methodology based on large community efforts in engineering and standardisation, which will depend on identifying a taxonomy of key activities – perhaps based on existing efforts to develop domain-specific languages, identify common patterns in weather and climate codes, and develop community approaches to commonly needed tools and libraries – and then collaboratively building up those key components. Such a collaborative approach will depend on institutions, projects, and individuals adopting new interdependencies and ways of working.
dc.description.sponsorshipThis paper reports European research funded by the following FW7 and H2020 research and innovation projects: IS-ENES2 under grant agreement 312979; ESCAPE under grant agreement no. 671627; and ESIWACE under grant agreement 675191. The authors acknowledge useful conversations with and input from Venkatramani Balaji, Terry Davies, Peter Fox, Rich Loft, Nigel Wood, and Andy Brown and the input of other participants at the “Crossing the Chasm” meeting, in particular Jean-Claude Andre, Joachim Biercamp, Antonio Cofiño, Marie-Alice Foujols, Sylvie Joussaume, Grenville Lister, Alastair Mckinstry, Annette Osprey, Øyvind Seland, and Manuel Vega.
dc.format.extent23 p.
dc.language.isoeng
dc.publisherEuropean Geosciences Union
dc.rightsAttribution-NonCommercial-NoDerivs 4.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/es/
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshClimatology
dc.subject.lcshWeather forecasting
dc.subject.otherClimate models
dc.subject.otherWeather models
dc.subject.otherComputing environment
dc.titleCrossing the chasm: how to develop weather and climate models for next generation computers?
dc.typeArticle
dc.subject.lemacClima--Observacions
dc.identifier.doi10.5194/gmd-11-1799-2018
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.geosci-model-dev.net/11/1799/2018/gmd-11-1799-2018.html
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/312979/EU/Infrastructure for the European Network for Earth System modelling/IS-ENES2
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/671627/EU/Energy-efficient SCalable Algorithms for weather Prediction at Exascale/ESCAPE
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/675191/EU/Excellence in SImulation of Weather and Climate in Europe/ESiWACE
local.citation.publicationNameGeoscientific Model Development
local.citation.volume11
local.citation.startingPage1799
local.citation.endingPage1821


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