2015
DOI: 10.1016/j.atmosenv.2015.05.054
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Evaluation of lightning-induced tropospheric ozone enhancements observed by ozone lidar and simulated by WRF/Chem

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Cited by 14 publications
(15 citation statements)
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References 40 publications
(35 reference statements)
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“…Simulations shown are described by Murray et al [102] most lightning NO x studies have largely ignored the surface. Conversely, regional air quality models used for chemical forecasts and policy studies historically have not had any lightning NO x emissions at all, and are only just beginning to implement the capability to do so [3,66,71,168].…”
Section: Introductionmentioning
confidence: 97%
“…Simulations shown are described by Murray et al [102] most lightning NO x studies have largely ignored the surface. Conversely, regional air quality models used for chemical forecasts and policy studies historically have not had any lightning NO x emissions at all, and are only just beginning to implement the capability to do so [3,66,71,168].…”
Section: Introductionmentioning
confidence: 97%
“…While in the upper troposphere, besides this chemical sink effect, the negative correlation between ozone and water vapor results from the physical Conversely, water vapor can be seen as a proxy for convection or clouds under certain circumstances. The positive correlation between ozone and water vapor could be observed during the convective transport of ozone or its precursors from the polluted PBL (Dickerson et al, 1987), or when the lightning-generated NO x is significant (DeCaria et al, 2005;Wang et al, 2015).…”
Section: Correlation Among Tropospheric Ozone Water Vapor and Tempementioning
confidence: 99%
“…The accuracy of the system has been discussed in previous studies and Lidar measurement precision is estimated to be ±10% in the lower troposphere and ±20% in the upper troposphere [15,16]. Data from the UAH TOLNet lidar system is publically available [14] and has been used to examine atmospheric chemistry relevant topics such as air pollution transport, nocturnal O 3 enhancements, stratosphere-troposphere exchange, boundary layer pollution entrainment, wildfire impacts on O 3 , and lightning NO x generated O 3 (e.g., [17][18][19]). During this study we evaluated all UAH TOLNet observations for the month of June 2013 to identify anomalous O 3 lamina (see Section 3.1).…”
Section: Tolnet Ozone Lidar Measurementsmentioning
confidence: 99%