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Aerosol optical depth retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks [Discussion paper]
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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, Áfricaes_ES
dc.contributor.authorGuirado-Fuentes, Carmenes_ES
dc.contributor.authorKouremeti, Nataliaes_ES
dc.contributor.authorBustos, Juan José dees_ES
dc.contributor.authorRomero Campos, Pedro Migueles_ES
dc.contributor.authorFrutos, Ángel M. dees_ES
dc.identifier.citationAtmospheric Measurement Techniques Discussions. 2015, 8, p. 9075–9103es_ES
dc.description.abstractThis paper presents the reconstruction of a 73-year time series of the aerosol optical depth (AOD) at 500 nm at the subtropical high-mountain Izaña Atmospheric Observatory (IZO) located in Tenerife (Canary Islands, Spain). For this purpose, we have combined AOD estimates from artificial neural networks (ANNs) from 1941 to 2001 and AOD measurements directly obtained with a Precision Filter Radiometer (PFR) between 2003 and 2013. The analysis is limited to summer months (July–August–September), when the largest aerosol load is observed at IZO (Saharan mineral dust particles). The ANN AOD time series has been comprehensively validated against coincident AOD measurements performed with a solar spectrometer Mark-I (1984–2009) and AERONET (AErosol RObotic NETwork) CIMEL photometers (2004–2009) at IZO, obtaining a rather good agreement on a daily basis: Pearson coefficient, R, of 0.97 between AERONET and ANN AOD, and 0.93 between Mark-I and ANN AOD estimates. In addition, we have analysed the long-term consistency between ANN AOD time series and long-term meteorological records identifying Saharan mineral dust events at IZO (synoptical observations and local wind records). Both analyses provide consistent results, with correlations  >  85 %. Therefore, we can conclude that the reconstructed AOD time series captures well the AOD variations and dust-laden Saharan air mass outbreaks on short-term and long-term timescales and, thus, it is suitable to be used in climate analysis.es_ES
dc.description.sponsorshipThe AERONET Cimel sun photometer at Izaña has been calibrated by AERONET-EUROPE Calibration Service, financed by the Aerosol Cloud and TRace gas InfraStructure (ACTRIS) European Research Infrastructure Action (FP7/2007-2013 no. 262254). Financial support from the Spanish Ministry of Economy and Competitiveness (MINECO) and from the “Fondo Europeo de Desarrollo Regional” (FEDER) for project CGL2012-33576 is gratefully acknowledged.es_ES
dc.publisherEuropean Geosciences Uniones_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_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 retrievals at the Izaña Atmospheric Observatory from 1941 to 2013 by using artificial neural networks [Discussion paper]es_ES
Appears in Collections:Artículos científicos 2015-2018

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