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dc.contributor.authorLledó, Llorenç
dc.contributor.authorBellprat, Omar
dc.contributor.authorDoblas-Reyes, Francisco
dc.contributor.authorSoret, Albert
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2018-10-23T09:12:52Z
dc.date.available2018-11-23T01:30:26Z
dc.date.issued2018-05-27
dc.identifier.citationLledó, L. [et al.]. Investigating the Effects of Pacific Sea Surface Temperatures on the Wind Drought of 2015 Over the United States. "Journal of Geophysical Research: Oceans", 27 Maig 2018, vol. 123, núm. 10.
dc.identifier.issn2169-9291
dc.identifier.urihttp://hdl.handle.net/2117/122776
dc.description.abstractDuring the first quarter of 2015 the United States experienced a widespread and extended episode of low surface wind speeds. This episode had a strong impact on wind power generation. Some wind farms did not generate enough cash for their steady payments, and the value of some assets decreased. Although the wind industry expressed their concerns, the episode has not received much attention from the scientific community and remains weakly understood. In this paper we aim to fill this gap and advance understanding of the underlying processes at seasonal time scales. Using retrospective climate predictions, we find that high sea surface temperatures in the western tropical Pacific ocean associated with a strongly positive phase of the North Pacific Mode played a central role to establish and maintain those wind anomalies. In a more general way it has also been shown that interannual variability of wind speed over North America is not only dominated by El Niño/Southern Oscillation but also by other sea surface temperature variations in the tropical Pacific. This new knowledge can be useful for industry stakeholders to anticipate future periods of low wind speed.
dc.description.sponsorshipThis work was funded by the EU projects S2S4E (GA 776787), EUCP (GA 776613), CLIM4ENERGY (C3S_441_Lot2_CEA), EUCLEIA (GA 607085), INDECIS (GA 690462), and MEDSCOPE (GA 690462). Omar Bellprat has been funded by the European Space Agency (ESA) Living Planet Fellowship Programme under the project VERITAS-CCI.We thank Daniel Cabezón for helping and informing on the wind drought episode and Javier García-Serrano for the insights on the interpretation of the physical processes. All the analyses have been performed using the statistical software R (R Core Team, 2015). The startR and s2dverification R packages have been used to read data sets, compute EOFs, and plot maps. Model output from the numerical experiments can be accessed through EUDAT facilities at the link http://doi.org/10.23728/b2share.71078 a8618414e9b906cfa6bb7d2cdab. The reanalysis data and models used are listed in the references. We also acknowledge Javier Vegas and Nicolau Manubens for technical support, as well as the EC-Earth consortium for the model development.
dc.format.extent13 p.
dc.language.isoeng
dc.publisherAmerican Geophysical Union (AGU)
dc.subjectÀrees temàtiques de la UPC::Energies
dc.subject.lcshSeasonal climate forecasting
dc.subject.lcshWind energy
dc.subject.otherClimate prediction
dc.subject.otherWind power
dc.subject.otherTeleconnections
dc.subject.otherNorth Pacific Mode
dc.subject.otherAtmospheric Bridge
dc.subject.otherWind drought
dc.titleInvestigating the Effects of Pacific Sea Surface Temperatures on the Wind Drought of 2015 Over the United States
dc.typeArticle
dc.subject.lemacEnergia eòlica
dc.subject.lemacPrevisió del temps
dc.identifier.doi10.1029/2017JD028019
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://agupubs.onlinelibrary.wiley.com/doi/10.1029/2017JD028019
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/776787/EU/Sub-seasonal to Seasonal climate forecasting for Energy/S2S4E
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/607085/EU/EUropean CLimate and weather Events: Interpretation and Attribution/EUCLEIA
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS
local.citation.publicationNameJournal of Geophysical Research: Oceans
local.citation.volume123
local.citation.number10


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