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Wind kinetic energy climatology and effective resolution for the ERA5 reanalysis

dc.contributor.authorBolgiani, Pedro
dc.contributor.authorCalvo Sancho, C.
dc.contributor.authorDíaz Fernández, Javier
dc.contributor.authorQuitián Hernández, Lara
dc.contributor.authorSantos Muñoz, D.
dc.contributor.authorFarrán, J. I.
dc.contributor.authorGonzález Alemán, Juan Jesús
dc.contributor.authorValero Rodríguez, Francisco
dc.contributor.authorMartín, M. L.
dc.contributor.authorSastre Marugán, Mariano
dc.date.accessioned2023-06-22T10:48:03Z
dc.date.available2023-06-22T10:48:03Z
dc.date.issued2022-01-29
dc.descriptionCRUE-CSIC (Acuerdos Transformativos 2022) Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. This work is supported by the Interdisciplinary Mathematics Institute of the Complutense University of Madrid and funded by the Spanish Ministry of Economy under the following research projects: PID2019-105306RB-I00 (IBER-CANES), CGL2016-78702 (SAFEFLIGHT), PCIN-2016-080 and FEI-EU-17-16. This work is also supported by the ECMWF Special Projects SPESMART and SPESVALE.
dc.description.abstractERA5 represents the state of the art for atmospheric reanalyses and is widely used in meteorological and climatological research. In this work, this dataset is evaluated using the wind kinetic energy spectrum. Seasonal climatologies are generated for 30 degrees latitudinal bands in the Northern Hemisphere (periodic domain) and over the North Atlantic area (limited-area domain). The spectra are also assessed to determine the effective resolution of the reanalysis. The results present notable differences between the latitudinal domains, indicating that ERA5 is properly capturing the synoptic conditions. The seasonal variability is adequate too, being winter the most energetic, and summer the least energetic season. The limited area domain results introduce a larger energy density and range. Despite the good results for the synoptic scales, the reanalysis' spectra are not able to properly reproduce the dissipation rates at mesoscale. This is a source of uncertainties which needs to be taken into account when using the dataset. Finally, a cyclone tropical transition is presented as a case study. The spectrum generated shows a clear difference in energy density at every wavelength, as expected for a highly-energetic status of the atmosphere.
dc.description.departmentDepto. de Física de la Tierra y Astrofísica
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía y Competitividad (MINECO)
dc.description.sponsorshipECMWF Special Project SPESMART
dc.description.sponsorshipECMWF Special Project SPESVALE
dc.description.sponsorshipInterdisciplinary Mathematics Institute of the Complutense University of Madrid
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/73126
dc.identifier.doi10.1007/s00382-022-06154-y
dc.identifier.issn0930-7575
dc.identifier.officialurlhttp://dx.doi.org/10.1007/s00382-022-06154-y
dc.identifier.relatedurlhttps://link.springer.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/71691
dc.journal.titleClimate dynamics
dc.language.isoeng
dc.page.final752
dc.page.initial737
dc.publisherSpringer Nature
dc.relation.projectIDIBERCANES (PID2019-105306RB-I00); SAFEFLIGHT (CGL2016-78702)
dc.relation.projectIDPCIN-2016-080
dc.relation.projectIDFEI-EU-17-16
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu550.3
dc.subject.keywordWave-number spectra
dc.subject.keywordNumerical weather prediction
dc.subject.keywordStratified turbulence
dc.subject.keywordConvective systems
dc.subject.keywordUpper troposphere
dc.subject.keywordTemperature
dc.subject.keywordAfrica
dc.subject.keywordVariability
dc.subject.keywordForecasts
dc.subject.ucmGeofísica
dc.subject.unesco2507 Geofísica
dc.titleWind kinetic energy climatology and effective resolution for the ERA5 reanalysis
dc.typejournal article
dc.volume.number59
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery0f12a7cd-33aa-41fb-a9f4-643fdda3b2b7

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