Mostra el registre d'ítem simple
Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4
dc.contributor.author | Marcos, Raül |
dc.contributor.author | González-Riviriego, Nube |
dc.contributor.author | Torralba, Verónica |
dc.contributor.author | Soret, Albert |
dc.contributor.author | Doblas-Reyes, Francisco |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2019-05-07T15:41:55Z |
dc.date.available | 2019-05-07T15:41:55Z |
dc.date.issued | 2019-03 |
dc.identifier.citation | Marcos, R. [et al.]. Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4. "Climate Dynamics", Març 2019, vol. 52, núm. 5-6, p. 3307-3319. |
dc.identifier.issn | 0930-7575 |
dc.identifier.uri | http://hdl.handle.net/2117/132676 |
dc.description.abstract | The present developments in 10 m wind seasonal forecast products have lead to a growth in the number of studies analysing different aspects of both its predictability and applicability. However, there is still a lack of global studies analysing the statistical properties of the probability distribution of 10 m wind speed comparing the seasonal forecast systems with the widely used reanalysis products. To fill this gap we have studied the properties of the probability distributions of 10 m wind speed from the ERA-Interim reanalysis and the European Centre for Medium-Range Weather Forecasts System 4 seasonal forecast system. We have focused on two seasons, JJA and DJF, considering both their interannual and intraseasonal variability. The 10 m wind speed distribution has been characterized in terms of the four main moments of the probability distribution (mean, standard deviation, skewness and kurtosis). We have also computed the coefficient of variation to identify the regions with the higher wind variability and the Shapiro–Wilks goodness of fit test to assess their normality. This set of parameters is important to provide useful climate information in wind energy decision-making processes that use simple assumptions of the wind speed frequency distribution to properly estimate the wind energy potential. Besides, this study also illustrates where the discrepancies of the distributions of the seasonal predictions and the reference dataset are higher and, thus, which might need special attention from a bias adjustment perspective. |
dc.description.sponsorship | We thank the S2S4E (GA776787), NEWA (PCIN-2014-012-C07-07), EUCP (GA776613), ERA4CS-INDECIS (GA690462), ERA4CS-MEDSCOPE (GA690462) and RESILIENCE (CGL2013-41055-R) projects funding for allowing us to carry out this research. We also acknowledge the ECMWF for the provision of the ECMWF System 4 ensemble re-forecast and the ERA-Interim rea-nalysis datasets. |
dc.format.extent | 13 p. |
dc.language.iso | eng |
dc.publisher | Springer |
dc.rights | Attribution-NonCommercial-NoDerivs 4.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Energies |
dc.subject.lcsh | Climate science |
dc.subject.other | Wind speed |
dc.subject.other | ECMWF System 4 |
dc.subject.other | ERA-Interim |
dc.subject.other | Climatology |
dc.subject.other | Probability density function |
dc.title | Characterization of the near surface wind speed distribution at global scale: ERA-Interim reanalysis and ECMWF seasonal forecasting system 4 |
dc.type | Article |
dc.subject.lemac | Clima--Observacions |
dc.identifier.doi | 10.1007/s00382-018-4338-5 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://link.springer.com/article/10.1007%2Fs00382-018-4338-5 |
dc.rights.access | Open Access |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/776787/EU/Sub-seasonal to Seasonal climate forecasting for Energy/S2S4E |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/776613/EU/European Climate Prediction system/EUCP |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/690462/EU/European Research Area for Climate Services/ERA4CS |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//CGL2013-41055-R/ES/REFUERZO DE LA RED ENERGETICA EUROPEA CON EL USO DE SERVICIOS CLIMATICOS/ |
local.citation.publicationName | Climate Dynamics |
local.citation.volume | 52 |
local.citation.number | 5-6 |
local.citation.startingPage | 3307 |
local.citation.endingPage | 3319 |
Fitxers d'aquest items
Aquest ítem apareix a les col·leccions següents
-
Articles de revista [390]