Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity

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...

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Autores principales: Bejarán, R.A., Camilloni, I.A.
Formato: JOUR
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0177798X_v74_n1-2_p93_Bejaran
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spelling todo:paper_0177798X_v74_n1-2_p93_Bejaran2023-10-03T15:08:13Z Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity Bejarán, R.A. Camilloni, I.A. air mass heat island synoptic meteorology temperature urban climate Argentina Buenos Aires 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. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0177798X_v74_n1-2_p93_Bejaran
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic air mass
heat island
synoptic meteorology
temperature
urban climate
Argentina
Buenos Aires
spellingShingle air mass
heat island
synoptic meteorology
temperature
urban climate
Argentina
Buenos Aires
Bejarán, R.A.
Camilloni, I.A.
Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity
topic_facet air mass
heat island
synoptic meteorology
temperature
urban climate
Argentina
Buenos Aires
description 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. 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.
format JOUR
author Bejarán, R.A.
Camilloni, I.A.
author_facet Bejarán, R.A.
Camilloni, I.A.
author_sort Bejarán, R.A.
title Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity
title_short Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity
title_full Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity
title_fullStr Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity
title_full_unstemmed Objective method for classifying air masses: An application to the analysis of Buenos Aires' (Argentina) urban heat island intensity
title_sort objective method for classifying air masses: an application to the analysis of buenos aires' (argentina) urban heat island intensity
url http://hdl.handle.net/20.500.12110/paper_0177798X_v74_n1-2_p93_Bejaran
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