Atmospheric Chemistry and Physics Discussions www.atmos-chem-phys-discuss.net 1680-7367 1680-7375 7 4 2007 10.5194/acpd-7-12417-2007 http://www.atmos-chem-phys-discuss.net/7/12417/2007/ http://www.atmos-chem-phys-discuss.net/7/12417/2007/acpd-7-12417-2007.html http://www.atmos-chem-phys-discuss.net/7/12417/2007/acpd-7-12417-2007.pdf 12417 12461 2007-08-22 Assessment of high to low frequency variations of isoprene emission rates using a neural network approach C. Boissard boissard@lisa.univ-paris12.fr F. Chervier A. L. Dutot Laboratoire Interuniversitaire des Systèmes Atmosphériques, UMR-CNRS 7583, Universités Paris 7 & 12, 61 avenue du Général de Gaulle, 94010 Créteil Cedex, France Using a statistical approach based on artificial neural networks, an emission algorithm (ISO_LF) accounting for high (instantaneous) to low (seasonal) frequency variations was developed for isoprene. ISO_LF was optimised using an isoprene emission data base (ISO-DB) specifically designed for this work. 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