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dc.contributor.author
Scagliotti, A. F.
dc.contributor.author
Urquiza, Josefina
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Tames, María Florencia
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Puliafito, Salvador Enrique
dc.contributor.author
Diez, S. C.
dc.date.available
2024-07-31T11:37:22Z
dc.date.issued
2024-07
dc.identifier.citation
Scagliotti, A. F.; Urquiza, Josefina; Tames, María Florencia; Puliafito, Salvador Enrique; Diez, S. C.; Uncertainties Assessment of Regional Aerosol Classification Schemes in South America; Springer; Earth Systems and Environment; 7-2024; 1-32
dc.identifier.issn
2509-9426
dc.identifier.uri
http://hdl.handle.net/11336/241313
dc.description.abstract
In the realm of aerosol classifcation, South America poses distinctive challenges due to data constraints and the varied methods used, often without consideration of their uncertainties or suitability for the specifc problem at hand. This study delves into the impact of uncertainties in aerosol optical properties on widely employed classifcation methods in the continent. Employing partial derivatives, we propagated uncertainties within 2-D threshold-based classifcation schemes across 30 sites within the AERONET network. The analysis examines the interplay between total and aerosol-type-specifc potential misclassifcation rates. Our fndings underscore pronounced uncertainties in complex schemes, and those reliant on the Angstrom exponent. Additionally, diferentiation between maritime and continental aerosols poses signifcant challenges across all methods, with a potential uncertainty of 63%. The fnest performance is particularly evident in tropical dry climates and rainforest environments, where top-performing methods achieve an average uncertainty rate of 21%. In contrast, regions characterized by the mountain grasslands & scrublands biome and coastal locations present formidable challenges, resulting in 76% averaged misclassifcation. Notably, the fne mode fraction-based scheme excels in coastal and island environments, while aerosol relative optical depth emerges as a valuable metric for classifcation in mountainous, rainforest, rural, and urban areas. The implications of this study are signifcant for aerosol classifcation applications, ofering a replicable methodology capable of reducing uncertainties. We recommend further measurements on the continent, as well as the use of our insights to select the most suitable classifcation method depending on the study site and aerosol conditions.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AEROSOLS
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OPTICAL PROPERTIES
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UNCERTAINTIES
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CLASSIFICATION SCHEMES
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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Ciencias de la Tierra y relacionadas con el Medio Ambiente
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CIENCIAS NATURALES Y EXACTAS
dc.title
Uncertainties Assessment of Regional Aerosol Classification Schemes in South America
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-07-30T13:01:21Z
dc.identifier.eissn
2509-9434
dc.journal.pagination
1-32
dc.journal.pais
Arabia Saudita
dc.journal.ciudad
Jeddah
dc.description.fil
Fil: Scagliotti, A. F.. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina
dc.description.fil
Fil: Urquiza, Josefina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Universidad Tecnológica Nacional. Facultad Regional Córdoba; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Tames, María Florencia. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
dc.description.fil
Fil: Puliafito, Salvador Enrique. Universidad Tecnológica Nacional. Facultad Regional de Mendoza; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza; Argentina
dc.description.fil
Fil: Diez, S. C.. University of York; Reino Unido
dc.journal.title
Earth Systems and Environment
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/10.1007/s41748-024-00423-y
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s41748-024-00423-y
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