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JU Xiaoyu, GUO Fengxia, BAO Min, MU Yijun, ZHENG Tianxue. Estimation of Lightning-Generated NOx in Inland China by Comparison of the Lightning Activity and NO2 Distribution over the Tibetan Plateau[J]. Climatic and Environmental Research, 2015, 20(5): 523-532. DOI: 10.3878/j.issn.1006-9585.2015.14252
Citation: JU Xiaoyu, GUO Fengxia, BAO Min, MU Yijun, ZHENG Tianxue. Estimation of Lightning-Generated NOx in Inland China by Comparison of the Lightning Activity and NO2 Distribution over the Tibetan Plateau[J]. Climatic and Environmental Research, 2015, 20(5): 523-532. DOI: 10.3878/j.issn.1006-9585.2015.14252

Estimation of Lightning-Generated NOx in Inland China by Comparison of the Lightning Activity and NO2 Distribution over the Tibetan Plateau

  • In order to better understand the relationship between lightning activities and nitrogen oxide (LNOx) in the troposphere, and estimate the lightning-generated NOx production in China more precisely, monthly means of lightning density and tropospheric NO2 vertical column densities (VCD) from the Tibetan Plateau, where there is a sparse population and underdeveloped industrial activity, are analyzed in terms of their distribution and correlation. The data are obtained from LIS (Lightning Imaging Sensor) measurements and GOME-2 (the Global Ozone Monitoring Experiment-2) from January 2009 to February 2012. The LNOx production in inland China is estimated based on Beirle's LNOx estimation method. The results show that the tropospheric NOx over the selected region of inland China is influenced little by anthropogenic sources. Lightning densities over the region are in reasonable agreement with tropospheric NO2 in terms of annual, spatial and seasonal variations. Combined with the correlation coefficient of 0.84 calculated by linear fitting, LNOx production in inland China is evaluated as 0.15 (0.03-0.38) Tg(N) a-1. It is indicated that the Tibetan Plateau is an ideal area to study LNOx. The conclusion further reduces the estimation uncertainty range of LNOx production in previous work, helping us to more clearly recognize the important role of lightning in climate change in China.
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