TY - JOUR A1 - Corchado, Emilio A1 - Arroyo, Ángel A1 - Tricio, Verónica T1 - Soft computing models to identify typical meteorological days Y1 - 2011/04/01 JF - Logic Journal of IGPL JO - Logic Journal of IGPL SP - 373 EP - 383 N1 - 10.1093/jigpal/jzq035 VL - 19 IS - 2 UR - http://jigpal.oxfordjournals.org/content/19/2/373.abstract N2 - Soft computing models are capable of identifying patterns that can characterize a ‘typical day’ in terms of its meteorological conditions. This multidisciplinary study examines data on six meteorological parameters gathered in a Spanish city. Data on these and other variables were collected for over 6 months, in 2007, from a pollution measurement station that forms part of a network of similar stations in the Spanish Autonomous Region of Castile–Leon. A comparison of the meteorological data allows relationships to be established between the meteorological variables and the days of the year. One of the main contributions of this study is the selection of appropriate data processing techniques, in order to identify typical days by analysing meteorological variables and aerosol pollutants. Two case studies are analysed in an attempt to identify a typical day in summer and in autumn. ER -