Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/1136
Aerosol optical depth retrieval at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks [Póster]
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dc.contributor.authorGarcía Cabrera, Rosa Deliaes_ES
dc.contributor.authorGarcía Rodríguez, Omaira Elenaes_ES
dc.contributor.authorCuevas Agulló, Emilioes_ES
dc.contributor.authorCachorro, Victoria E.es_ES
dc.contributor.authorBarreto Velasco, Áfricaes_ES
dc.contributor.authorGuirado-Fuentes, Carmenes_ES
dc.contributor.authorKouremeti, Nataliaes_ES
dc.contributor.authorBustos Seguela, Juan José dees_ES
dc.contributor.authorRomero Campos, Pedro Migueles_ES
dc.contributor.authorFrutos Baraja, Ángel Máximo dees_ES
dc.date.accessioned2016-02-29T09:04:09Z-
dc.date.available2016-02-29T09:04:09Z-
dc.date.issued2015-
dc.identifier.citationSimposio Internacional CLIMA-ES (2015)-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/1136-
dc.descriptionPóster elaborado para el International Symposium CLIMA-ES 2015, Tortosa, Spain, 11-13 March 2015.es_ES
dc.description.abstractA 73-year time series of the daily aerosol optical depth (AOD) at 500 nm has been reconstructed from 1941 to 2013 at the subtropical high-mountain Izaña Global Atmospheric Watch (GAW) Observatory (IZO) located in Tenerife Island (The Canary Islands, Spain ; 28º 18’ N, 16º 29’W, 2.367 ma.s.l) For this purpose, we have combined AOD estimates from Artificial Neuronal Networks (ANNs) from 1941 to 2001, and AOD measurements directly performed with Precision Filter Radiometer (PFR) between 2003 and 2013. Theanalysis is limited to cloud-free conditions (Oktas=0) and to the summer season (JAS), where the largest aerosol load is observed at IZO (Saharan mineral dust particles). In order to account for the observed AOD inter-annual/decadal variations, we have done a preliminary study about the relationship between AOD time series and the large-scale climatic indexes, such as the Atlantic Multidecadal Oscillation (AMO), obtaining a significant anti-correlation.es_ES
dc.description.sponsorshipThis work was developed under the Specific Agreement of Collaboration between the Meteorological State Agency (AEMET)of Spain and the University of Valladolid. Financial supports from the Spanish Ministry of Economy and Competitiveness (MINECO)and from the “Fondo Europeo de Desarrollo Regional” (FEDER)forprojectsCGL2011-23413,CGL2012-33576andCGL2012-37505 are gratefully acknowledged.es_ES
dc.formatapplication/pdf
dc.language.isoenges_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectProfundidad óptica de aerosoleses_ES
dc.subjectRedes neuronales artificialeses_ES
dc.subjectAerosol optical depthes_ES
dc.subjectArtificial neural networkses_ES
dc.titleAerosol optical depth retrieval at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks [Póster]es_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
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