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dc.contributor.authorMerryfield, William J.
dc.contributor.authorBaehr, Johanna
dc.contributor.authorBatté, Lauriane
dc.contributor.authorBecker, Emily J.
dc.contributor.authorButler, Amy H.
dc.contributor.authorCoelho, Caio A.S.
dc.contributor.authorDanabasoglu, Gorkhan
dc.contributor.authorDirmeyer, Paul A.
dc.contributor.authorDoblas-Reyes, Francisco
dc.contributor.authorDomeisen, Daniela I.V.
dc.contributor.authorFerranti, Laura
dc.contributor.authorIlynia, Tatiana
dc.contributor.authorKumar, Arun
dc.contributor.authorMüller, Wolfang A.
dc.contributor.authorRixen, Michel
dc.contributor.authorRobertson, Andrew W.
dc.contributor.authorSmith, Doug M.
dc.contributor.authorTakayaka, Yuhei
dc.contributor.authorTuma, Matthias
dc.contributor.authorVitart, Frederic
dc.contributor.authorWhite, Christopher J.
dc.contributor.authorAlvarez, Mariano S.
dc.contributor.authorArdilouze, Constantin
dc.contributor.authorAttard, Hannah
dc.contributor.authorBaggett, Cory
dc.contributor.authorBalsameda, Magdalena A.
dc.contributor.authorBeraki, Asmeron F.
dc.contributor.authorBhattacharjee, Partha S.
dc.contributor.authorBilbao, Roberto
dc.contributor.authorAndrade, Felipe M. de
dc.contributor.authorDeFlorio, Michael J.
dc.contributor.authorDíaz, Leandro B.
dc.contributor.authorEhsan, Muhammad Azhar
dc.contributor.authorFragkoulidis, Georgios
dc.contributor.authorGrainger, Sam
dc.contributor.authorGreen, Benjamin W.
dc.contributor.authorHell, Momme C.
dc.contributor.authorInfanti, Johanna M.
dc.contributor.authorIsensee, Katharina
dc.contributor.authorKataoka, Takahito
dc.contributor.authorKirtman, Ben P.
dc.contributor.authorKlingaman, Nicholas P.
dc.contributor.authorLee, June-Yi
dc.contributor.authorMayer, Kristen
dc.contributor.authorMcKay, Roseanna
dc.contributor.authorMecking, Jennifer V
dc.contributor.authorMiller, Douglas E.
dc.contributor.authorNeddermann, Nele
dc.contributor.authorJustin Ng, Ching Ho
dc.contributor.authorOssó, Albert
dc.contributor.authorPankatz, Klaus
dc.contributor.authorPeatman, Simon
dc.contributor.authorPegion, Kathy
dc.contributor.authorPerlwitz, Judith
dc.contributor.authorRecalde-Coronel, G. Cristina
dc.contributor.authorReintges, Annika
dc.contributor.authorRenkl, Christoph
dc.contributor.authorSolaraju-Murali, Balakrishnan
dc.contributor.authorSpring, Aaron
dc.contributor.authorStan, Cristiana
dc.contributor.authorSun, Y. Qiang
dc.contributor.authorTozer, Carly R.
dc.contributor.authorVigaud, Nicolas
dc.contributor.authorWoolnough, Steven
dc.contributor.authorYeager, Stephen
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2020-04-24T15:16:24Z
dc.date.available2020-04-24T15:16:24Z
dc.date.issued2020-01-29
dc.identifier.citationMerryfield, W. J. [et al.]. Current and emerging developments in subseasonal to decadal prediction. "Bulletin of the American Meteorological Society", 2020, vol. 101,núm. 6, p. E869–E896.
dc.identifier.issn1520-0477
dc.identifier.urihttp://hdl.handle.net/2117/185086
dc.description.abstractClimate prediction on subseasonal to decadal time scales is a rapidly advancing field that is synthesizing improvements in climate process understanding and modeling to improve and expand operational services worldwide. Weather and climate variations on subseasonal to decadal timescales can have enormous social, economic and environmental impacts, making skillful predictions on these timescales a valuable tool for decision makers. As such, there is a growing interest in the scientific, operational, and applications communities in developing forecasts to improve our foreknowledge of extreme events. On subseasonal to seasonal (S2S) timescales, these include high-impact meteorological events such as tropical cyclones, extratropical storms, floods, droughts, and heat and cold waves. On seasonal to decadal (S2D) timescales, while the focus broadly remains similar, (e.g., on precipitation, surface and upper ocean temperatures and their effects on the probabilities of high-impact meteorological events), understanding the roles of internal and externally-forced variability such as anthropogenic warming in forecasts also becomes important. The S2S and S2D communities share common scientific and technical challenges. These include forecast initialization and ensemble generation; initialization shock and drift; understanding the onset of model systematic errors; bias correction, calibration, and forecast quality assessment; model resolution; atmosphere-ocean coupling; sources and expectations for predictability; and linking research, operational forecasting, and end user needs. In September 2018 a coordinated pair of international conferences, framed by the above challenges, was organized jointly by the World Climate Research Programme (WCRP) and the World Weather Research Programme (WWRP). These conferences surveyed the state of S2S and S2D prediction, ongoing research, and future needs, providing an ideal basis for synthesizing current and emerging developments in these areas that promise to enhance future operational services. This article provides such a synthesis.
dc.description.sponsorshipThe International Conferences on Subseasonal to Decadal Prediction on which this paper is based were sponsored by: US CLIVAR, NSF, UCAR, NCAR and its Climate and Global Dynamics Laboratory (CGD), NOAA’s Climate Variability and Predictability (CVP) and Modeling, Analysis, Predictions and Projections (MAPP) Programs, Copernicus Climate Change Service, IPSL, and WWRP/WCRP’s Subseasonal-to-Seasonal (S2S) Prediction Project.
dc.format.extent88 p.
dc.language.isoeng
dc.publisherAmerican Meteorological Society
dc.rights© Copyright [date of publication] American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a website or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. All AMS journals and monograph publications are registered with the Copyright Clearance Center (http://www.copyright.com). Questions about permission to use materials for which AMS holds the copyright can also be directed to permissions@ametsoc.org. Additional details are provided in the AMS Copyright Policy statement, available on the AMS website (http://www.ametsoc.org/CopyrightInformation).
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Canvi climàtic
dc.subject.lcshClimatic changes
dc.subject.lcshForecasting
dc.subject.lcshMeteorology
dc.subject.lcshWorld Climate Research Programme
dc.subject.lcshWorld Weather Research Programme
dc.subject.otherClimate change
dc.subject.otherClimate prediction
dc.subject.otherForecast
dc.subject.otherExtreme events
dc.subject.otherHigh-impact meteorological events
dc.titleCurrent and emerging developments in subseasonal to decadal prediction
dc.typeArticle
dc.subject.lemacCanvis climàtics
dc.subject.lemacMeteorologia
dc.subject.lemacAtmosfera -- Aspectes ambientals
dc.subject.lemacAtmosfera -- Fenòmens
dc.identifier.doi10.1175/BAMS-D-19-0037.1
dc.relation.publisherversionhttps://journals.ametsoc.org/doi/10.1175/BAMS-D-19-0037.1
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.publicationNameBulletin of the American Meteorological Society
local.citation.volume101
local.citation.number6
local.citation.startingPageE869
local.citation.endingPageE896


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