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Estimates of lightning NOxproduction based on OMI NO2observations over the Gulf of Mexico

Authors :
Pickering, Kenneth E.
Bucsela, Eric
Allen, Dale
Ring, Allison
Holzworth, Robert
Krotkov, Nickolay
Source :
Journal of Geophysical Research - Atmospheres; July 2016, Vol. 121 Issue: 14 p8668-8691, 24p
Publication Year :
2016

Abstract

We evaluate nitrogen oxide (NOx= NO + NO2) production from lightning over the Gulf of Mexico region using data from the Ozone Monitoring Instrument (OMI) aboard NASA's Aura satellite along with detection efficiency‐adjusted lightning data from the World Wide Lightning Location Network (WWLLN). A special algorithm was developed to retrieve the lightning NOx(LNOx) signal from OMI. The algorithm in its general form takes the total slant column NO2from OMI and removes the stratospheric contribution and tropospheric background and includes an air mass factor appropriate for the profile of lightning NOxto convert the slant column LNO2to a vertical column of LNOx. WWLLN flashes are totaled over a period of 3 h prior to OMI overpass, which is the time an air parcel is expected to remain in a 1° × 1° grid box. The analysis is conducted for grid cells containing flash counts greater than a threshold value of 3000 flashes that yields an expected LNOxsignal greater than the background. Pixels with cloud radiance fraction greater than a criterion value (0.9) indicative of highly reflective clouds are used. Results for the summer seasons during 2007–2011 yield mean LNOxproduction of ~80 ± 45 mol per flash over the region for the two analysis methods after accounting for biases and uncertainties in the estimation method. These results are consistent with literature estimates and more robust than many prior estimates due to the large number of storms considered but are sensitive to several substantial sources of uncertainty. Realistic seasonal mean values of lightning NOx(LNOx) production can be obtained from OMI dataMean LNOxproduction over the Gulf of Mexico for five summers is 80 ± 45 mol per flash when adjusted for biases and uncertaintiesBiases and uncertainties in LNOxestimates stemming from OMI data, elements of the algorithm, and flash data are quantified

Details

Language :
English
ISSN :
2169897X and 21698996
Volume :
121
Issue :
14
Database :
Supplemental Index
Journal :
Journal of Geophysical Research - Atmospheres
Publication Type :
Periodical
Accession number :
ejs45700189
Full Text :
https://doi.org/10.1002/2015JD024179