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dc.contributor.author
Bejarán, Rubén Aníbal
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dc.contributor.author
Camilloni, Ines Angela
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dc.date.available
2021-11-24T19:47:00Z
dc.date.issued
2003-06
dc.identifier.citation
Bejarán, Rubén Aníbal; Camilloni, Ines Angela; Objective method for classifying air masses: an application to the analysis of the Buenos Aires' (Argentina) urban heat island intensity; Springer Wien; Theory & Application Climatology; 74; 1; 6-2003; 93-103
dc.identifier.issn
0177-798X
dc.identifier.uri
http://hdl.handle.net/11336/147367
dc.description.abstract
During recent years, numerous studies have examined the Buenos Aires urban climate, but the relationship between large-scale weather conditions and the Buenos Aires urban heat island (UHI) intensity has not been studied. The goal of this paper is to apply an objective synoptic climatological method to identify homogeneous air masses or weather types affecting Buenos Aires during winter, and to relate the results to the UHI intensity. A K-means clustering method was used to define six different air masses considering the 03:00, 09:00, 15:00 and 21:00 LT surface observations of dry bulb temperature, dew point, cloud cover, atmospheric pressure and wind direction and velocity at Ezeiza, the most rural meteorological station of the Buenos Aires metropolitan area (Fig. 1). Results show that the mean UHI intensity is at its maximum (2.8 °C) a few hours before sunrise when conditions are dominated by cold air masses associated with cold-core anticyclones, weak winds and low cloud cover. Inverse heat islands are found during the afternoon for all air masses indicating that surface processes are not dominant at that time. The relatively infrequent and warmest air mass is the only one that presents a mean negative urban-rural temperature difference (−0.1 °C) during the afternoon with the smallest diurnal cycle of the UHI intensity probably due to the prevailing high humidity and cloudy sky conditions. The paper provides an insight into the Buenos Aires urban?rural temperature difference under a variety of winter weather types and results could be useful to improve local daily temperature forecasts for the metropolitan area of Buenos Aires on the basis of the routine forecasts of weather types.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Wien
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Buenos Aires
dc.subject
urbanization
dc.subject
cluster analysis
dc.subject
urban heat island
dc.subject.classification
Investigación Climatológica
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Objective method for classifying air masses: an application to the analysis of the Buenos Aires' (Argentina) urban heat island intensity
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2021-01-18T21:04:07Z
dc.journal.volume
74
dc.journal.number
1
dc.journal.pagination
93-103
dc.journal.pais
Austria
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dc.journal.ciudad
Viena
dc.description.fil
Fil: Bejarán, Rubén Aníbal. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Ciencias de la Atmósfera y los Océanos; Argentina
dc.description.fil
Fil: Camilloni, Ines Angela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
dc.journal.title
Theory & Application Climatology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://link.springer.com/article/10.1007%2Fs00704-002-0714-4
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00704-002-0714-4
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