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dc.contributor.authorJerez, Sonia-
dc.contributor.authorMachado Trigo, Ricardo-
dc.contributor.otherDepartamento de Físicaes
dc.date.accessioned2024-02-05T09:30:26Z-
dc.date.available2024-02-05T09:30:26Z-
dc.date.issued2013-
dc.identifier.citationEnvironmental Research Letters, Volume 8 (2013), Number 4es
dc.identifier.issnElectronic 1748-9326-
dc.identifier.urihttp://hdl.handle.net/10201/138591-
dc.descriptionContent from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.-
dc.description.abstractThe North Atlantic Oscillation (NAO), the East Atlantic (EA) and the Scandinavian (SCAND) modes are the three main large-scale circulation patterns driving the climate variability of the Iberian Peninsula. This study assesses their influence in terms of solar (photovoltaic) and wind power generation potential (SP and WP) and evaluates their skill as predictors. For that we use a hindcast regional climate simulation to retrieve the primary meteorological variables involved, surface solar radiation and wind speed. First we identify that the maximum influence of the various modes occurs on the interannual variations of the monthly mean SP and WP series, being generally more relevant in winter. Second we find that in this time-scale and season, SP (WP) varies up to 30% (40%) with respect to the mean climatology between years with opposite phases of the modes, although the strength and the spatial distribution of the signals differ from one month to another. Last, the skill of a multi-linear regression model (MLRM), built using the NAO, EA and SCAND indices, to reconstruct the original wintertime monthly series of SP and WP was investigated. The reconstructed series (when the MLRM is calibrated for each month individually) correlate with the original ones up to 0.8 at the interannual time-scale. Besides, when the modeled series for each individual month are merged to construct an October-to-March monthly series, and after removing the annual cycle in order to account for monthly anomalies, these correlate 0.65 (0.55) with the original SP (WP) series in average. These values remain fairly stable when the calibration and reconstruction periods differ, thus supporting up to a point the predictive potential of the method at the time-scale assessed here.es
dc.formatapplication/pdfes
dc.languageenges
dc.relationPortuguese Science Foundation (FCT) project PEST-OE/CTE/LA0019/2013-FCTes
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectNorth Atlantic Oscillationen
dc.subjectEast Atlanticen
dc.subjectScandinavian patternen
dc.subjectWind poweren
dc.subjectSolar poweren
dc.subjectIberian Peninsulaen
dc.titleTime-scale and extent at which large-scale circulation modes determine the wind and solar potential in the Iberian Peninsulaes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1088/1748-9326/8/4/044035-
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