Atmospheric Chemistry and Physics www.atmos-chem-phys.net 1680-7316 1680-7324 10 1 2010 10.5194/acp-10-107-2010 http://www.atmos-chem-phys.net/10/107/2010/ http://www.atmos-chem-phys.net/10/107/2010/acp-10-107-2010.html http://www.atmos-chem-phys.net/10/107/2010/acp-10-107-2010.pdf 107 119 2010-01-08 Lightning NO_x emissions over the USA constrained by TES ozone observations and the GEOS-Chem model L. Jourdain line.jourdain@cnrs-orleans.fr S. S. Kulawik H. M. Worden K. E. Pickering J. Worden A. M. Thompson Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA National Center for Atmospheric Research, P.O. Box 3000 Boulder, CO 80307, USA NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA Department of Meteorology, Pennsylvania State University, University Park, PA 16802,USA now at: Laboratoire de Physique et Chimie de l'Environnement et de l'Espace et Université d'Orléans, Orléans, France Improved estimates of NO_x from lightning sources are required to understand tropospheric NO_x and ozone distributions, the oxidising capacity of the troposphere and corresponding feedbacks between chemistry and climate change. In this paper, we report new satellite ozone observations from the Tropospheric Emission Spectrometer (TES) instrument that can be used to test and constrain the parameterization of the lightning source of NO_x in global models. Using the National Lightning Detection (NLDN) and the Long Range Lightning Detection Network (LRLDN) data as well as the HYPSLIT transport and dispersion model, we show that TES provides direct observations of ozone enhanced layers downwind of convective events over the USA in July 2006. We find that the GEOS-Chem global chemistry-transport model with a parameterization based on cloud top height, scaled regionally and monthly to OTD/LIS (Optical Transient Detector/Lightning Imaging Sensor) climatology, captures the ozone enhancements seen by TES. We show that the model's ability to reproduce the location of the enhancements is due to the fact that this model reproduces the pattern of the convective events occurrence on a daily basis during the summer of 2006 over the USA, even though it does not well represent the relative distribution of lightning intensities. 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