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Títol:	Air temperature in Barcelona metropolitan region from MODIS satellite and GIS data
Autor/a:	Serra de Larrocha, Carina; Lana Pons, Francisco Javier; Martínez Santafé, Maria Dolors; Roca Cladera, Josep; Arellano Ramos, Blanca; Biere Arenas, Rolando Mauricio; Moix, Montserrat; Burgueño Rivero, August
Altres autors:	Universitat Politècnica de Catalunya. Departament de Física; Universitat Politècnica de Catalunya. Departament de Tecnologia de l'Arquitectura; Universitat Politècnica de Catalunya. Doctorat en Gestió i Valoració Urbana i Arquitectònica; Universitat Politècnica de Catalunya. GIES - Geofísica i Enginyeria Sísmica; Universitat Politècnica de Catalunya. CPSV - Centre de Política de Sòl i Valoracions
Abstract:	The metropolitan region of Barcelona (BMR) is one of the most densely populated areas in the Mediterranean countries. The estimation of air temperature at a short scale from satellite measurements would contribute to a better understanding of the varied and complex spatial distribution of temperatures in BMR. This estimation would be a first step to study several patterns of the thermometric regime affecting population life quality and health. Taking advantage of MODIS data, air temperature measurements at 48 thermometric stations along the year 2015, together with their geographic and topographic data, multiple regression analyses have permitted to obtain fine spatial distributions (pixels of 1 km2) of minimum, mean and maximum daily air temperatures. Previous to the multiple regression, Pearson coefficients and principal component analysis offer a first overview of the relevance of the variables on the empiric temperatures. The most relevant variables on the multiple regression process at annual and seasonal scale are land surface temperatures, latitude, longitude and calendar day. At a monthly scale, altitude (maximum temperature) and continentality (cold months for minimum and hot months for maximum temperatures) are also relevant. The best fits between empiric temperatures and those derived from the multiple regression processes have square regression coefficients within the range (0.92–0.96) for the annual case, (0.70–0.92) at seasonal scale and (0.52–0.87) at monthly scale. The root mean square error varies from 1.5 to 2.0 °C (annual case), from 1.3 to 2.0 °C (seasonal scale) and from 1.2 to 2.1 °C (monthly scale). In agreement with these regression coefficients and mean square errors, the obtained spatial distribution of temperatures is of notable quality. As an outstanding application, the detection of several urban heat islands on different conurbations within BMR along the Mediterranean coast becomes possible.
Matèries:	-Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Medi ambient -Àrees temàtiques de la UPC::Física::Impacte ambiental -Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Enginyeria ambiental -Temperature measurements - Àrea Metropolitana de Barcelona -Temperature -Termometria - Àrea Metropolitana de Barcelona -Temperatura
Drets:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipus de document:	Article - Versió presentada Article
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