A31N-06:
Lightning Nitrogen Oxides (LNOx) Vertical Profile Quantification and 10 Year Trend Analysis using Ozone Monitoring Instrument (OMI) Satellite Measurements, Air Quality Station (AQS) Surface Measurements, The National Lightning Detection Network (NLDN), and Simulated by Cloud Resolving Chemical Transport Model (REAM Cloud)
Wednesday, 17 December 2014: 9:15 AM
Charles David Smeltzer, Georgia Institute of Technology, Roswell, GA, United States, Yuhang Wang, Georgia Inst of Technology, Atlanta, GA, United States and William John Koshak, NASA Marshall Space Flight Center, Huntsville, AL, United States
Abstract:
Vertical profiles and emission lifetimes of lightning nitrogen oxides
(LNO
x) are derived using the Ozone Monitoring Instrument (OMI).
Approximately 200 million flashes, over a 10 year climate period, from
the United States National Lighting Detection Network (NLDN), are aggregated
with OMI cloud top height to determine the vertical
LNO
x structure.
LNO
x lifetime is determined as function of
LNO
x signal in a 36 kilometer
vertical column from the time of the last known flash to depletion of the
LNO
x signal. Environmental
Protection Agency (EPA) Air Quality Station (AQS) surface data further
support these results by demonstrating as much as a 200% increase in
surface level NO2 during strong thunderstorm events and a lag as long as
5 to 8 hours from the lightning event to the peak surface event,
indicating a evolutional process.
Analysis of cloud resolving chemical transport model (REAM Cloud)
demonstrates that C-shaped
LNO
x profiles, which agree with OMI vertical
profile observations, evolve due to micro-scale convective meteorology
given inverted C-shaped
LNO
x emission profiles as determined from
lightning radio telemetry. It is shown, both in simulations and in
observations, that the extent to which the
LNO
x vertical distribution is
C-shaped and the lifetime of
LNO
x is proportional to the shear-strength
of the thunderstorm. Micro-scale convective meteorology is not
adequately parameterized in global scale and regional scale chemical
transport models (CTM). Therefore, these larger scale CTMs ought to use
a C-shape emissions profile to best reproduce observations until
convective parameterizations are updated. These findings are used to
simulate decadal
LNO
x and lightning ozone climatology over the
Continental United States (CONUS) from 2004-2014.