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Evaluation of atmospheric dust prediction models using ground-based observations
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dc.contributor.authorTerradellas, Enrices_ES
dc.contributor.authorBaldasano, José Maríaes_ES
dc.contributor.authorCuevas Agulló, Emilioes_ES
dc.contributor.authorBasart, Saraes_ES
dc.contributor.authorHuneeus, Nicolases_ES
dc.contributor.authorCamino, Carloses_ES
dc.contributor.authorDundar, C.es_ES
dc.contributor.authorBenincasa, Francescoes_ES
dc.identifier.citationEuropean Geosciences Union General Assembly (2013)es_ES
dc.descriptionPóster presentado en: EGU General Assembly celebrada del 7 al 12 de abril de 2013 en Viena, Austria.es_ES
dc.description.abstractAn important step in numerical prediction of mineral dust is the model evaluation aimed lo assess its performance to forecast the atmospheric dust content and to lead to new directions in model development and improvement. This work presents the use of different ground-based observing systems for the evaluation of dust models in the Regional Center for Northern Africa, Middle East and Europe of the WMO Sand and Dust Storm Warning Advisory and Assessment System (SDS-WAS, The dust optical depth al 550 nm forecast by different models is regularly compared with the AERONET measurements of Aerosol Optical Depth (AOD) for 40 selected stations. This variable integrales the contribution of different aerosol types, but may be complemented with spectral information that enables hypotheses about the nature of the particles. Comparison is restricted lo cases with low Angstr6m exponent values in arder lo ensure that coarse mineral dust is the dominant aerosol type.es_ES
dc.rightsLicencia CC: Reconocimiento–NoComercial–SinObraDerivada CC BY-NC-NDes_ES
dc.subjectRemote sensinges_ES
dc.subjectAerosol Optical Depthes_ES
dc.titleEvaluation of atmospheric dust prediction models using ground-based observationses_ES
Appears in Collections:EGU General Assembly

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