Variability and trends of heating degree-days in Argentina

• Autores: Castañeda, M.E.; Claus, F.
• Año de publicación: 2013
• Idioma: inglés
• Tipo de recurso: artículo
• Fuente: Int. J. Climatol. 2013;33(10):2352-2361
• Materia: Argentina; Gas consumption; Heating degree-days; Principal component analysis; Temporal statistics; Trends; Argentina; Gas consumption; Heating degree-days; Intra-annual variability; Natural gas consumption; Temporal distribution; Trends; University of Delaware; Hard disk storage; Heating; Natural gas; Principal component analysis; Population statistics; annual variation; heating; natural gas; principal component analysis; spatial variation; temporal distribution; temporal variation; trend analysis; Andes; Argentina
• Institución: Universidad Nacional de Buenos Aires. Facultad de Ciencias Exactas y Naturales

This study analyses heating degree-days (HDDs) in Argentina during the period 1900-2008. Gridded temperature data provided by the University of Delaware were analysed to calculate monthly and annual cumulative HDDs. Mean, maximum and minimum values as well as the average duration of the heating season are used to characterize the mean features of the region. Spatial variations are driven by latitude and altitude. The analysis of the temporal distribution of HDDs reveals that the centre of the mean heating season varies from mid-June to mid-July. The length of the cold season grows with increasing latitude and westward with increasing altitude. In the high Andes, the heating season extends all year round. S-mode principal component analysis is used to identify sub-groups of grid points with similar temporal variability. Negative trends in annual cumulative HDDs are detected in most of the country. Linear and nonlinear trends as well as temporal statistics are examined for inter- and intra-annual variability of HDDs to discuss its potential incidence on residential use of natural gas. Seasonal increases in natural gas consumption in the country, including the effect of regional price benefits, could be now better explained not only by population growth but also by the spatial and temporal characterization of the HDD season. © 2012 Royal Meteorological Society.
Fil:Castañeda, M.E. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina.