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dc.contributor.authorPfister, Gabriele G.
dc.contributor.authorEastham, Sebastian D.
dc.contributor.authorArellano, Avelino F.
dc.contributor.authorAumont, Bernard
dc.contributor.authorGuevara, Marc
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-05-19T12:58:17Z
dc.date.available2021-05-19T12:58:17Z
dc.date.issued2020
dc.identifier.citationPfister, G.G. [et al.]. The Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA). "Bulletin of the American Meteorological Society (BAMS)", 2020, vol. 101, núm. 10, p. E1743-E1760.
dc.identifier.issn1520-0477
dc.identifier.urihttp://hdl.handle.net/2117/345920
dc.description.abstractTo explore the various couplings across space and time and between ecosystems in a consistent manner, atmospheric modeling is moving away from the fractured limited-scale modeling strategy of the past toward a unification of the range of scales inherent in the Earth system. This paper describes the forward-looking Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA), which is intended to become the next-generation community infrastructure for research involving atmospheric chemistry and aerosols. MUSICA will be developed collaboratively by the National Center for Atmospheric Research (NCAR) and university and government researchers, with the goal of serving the international research and applications communities. The capability of unifying various spatiotemporal scales, coupling to other Earth system components, and process-level modularization will allow advances in both fundamental and applied research in atmospheric composition, air quality, and climate and is also envisioned to become a platform that addresses the needs of policy makers and stakeholders.
dc.description.sponsorshipThe National Center for Atmospheric Research is sponsored by the National Science Foundation. The authors thank Rebecca Schwantes, Forrest Lacey, and Olivia Clifton (NCAR) for valuable contributions to the manuscript. We further acknowledge the valuable suggestions by three anonymous reviewers. Daniel Jacob, Sebastian Eastham, and Kelley Barsanti acknowledge support from the NSF Atmospheric Chemistry Program. Jerome Fast is supported by the U.S. Department of Energy’s Atmospheric System Research (ASR) program. Xiaohong Liu acknowledges support from the U.S. Department of Energy’s Earth System Modeling Development Program.
dc.format.extent18 p.
dc.language.isoeng
dc.publisherAmerican Meteorological Society
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
dc.subject.lcshEarth science
dc.subject.lcshEarth sciences--Data processing
dc.subject.lcshAir quality
dc.subject.lcshAtmospheric models
dc.subject.otherAerosols
dc.subject.otherAtmospheric modeling
dc.subject.otherEarth system
dc.subject.otherMulti-Scale Infrastructure for Chemistry and Aerosols (MUSICA)
dc.titleThe Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA)
dc.typeArticle
dc.subject.lemacSimulacio per ordinador
dc.identifier.doi10.1175/BAMS-D-19-0331.1
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://journals.ametsoc.org/view/journals/bams/101/10/bamsD190331.xml
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
local.citation.publicationNameBulletin of the American Meteorological Society (BAMS)
local.citation.volume101
local.citation.number10
local.citation.startingPageE1743
local.citation.endingPageE1760
dc.description.authorship"Article signat per 27 autors/es: Gabriele G. Pfister, Sebastian D. Eastham, Avelino F. Arellano, Bernard Aumont, Kelley C. Barsanti, Mary C. Barth, Andrew Conley, Nicholas A. Davis, Louisa K. Emmons, Jerome D. Fast, Arlene M. Fiore, Benjamin Gaubert, Steve Goldhaber, Claire Granier, Georg A. Grell, Marc Guevara, Daven K. Henze, Alma Hodzic, Xiaohong Liu, Daniel R. Marsh, John J. Orlando, John M. C. Plane, Lorenzo M. Polvani, Karen H. Rosenlof, Allison L. Steiner, Daniel J. Jacob, and Guy P. Brasseur"


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