HR: 1340h
AN: A33C-1414 [Abstracts]
TI: Quantifying the lightning Nox emissions over the US using TES, NLDN, IONS data and the GEOS-Chem model
AU: * Jourdain, L L
EM: line.jourdain@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91101,
AU: Kulawik, S
EM: Susan.S.Kulawik@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91101,
AU: Worden, H
EM: hmw@ucar.edu
AF: National Center for Atmospheric Chemistry, 1850 Table Mesa Drive, Boulder, CO 80305-3000,
AU: Pickering, K
EM: ken.pickering@nasa.gov
AF: NASA GSFC, NASA Goddard Space flight center, Greenbelt, MD 20771,
AU: Fisher, B
EM: brendan.fisher@jpl.nasa,gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Dr., Pasadena, CA 91101,
AB:
The Tropospheric Emission Spectrometer (TES) performed extensive observations of the North American and
North Atlantic regions during summer 2006. In this study, we use the TES dataset in conjunction with the lightning
flashes observed by the National Lightning Detection Network (NLDN) and the Long-Range Lightning Detection
Network (LRLDN) to investigate the lightning influence on ozone over the US during July-August 2006. First, TES
ozone profiles are compared to the ozonesonde measurements from the IONS (INTEX Ozonesonde Network
Study) 2006 campaign to provide validation specific to the North American summer conditions. Then, the lightning
influence on the air parcels sampled by TES is investigated by computing forward trajectories initialized at the
times and locations of each cloud-to-ground flash observed by the lightning detection networks. Several cases
are identified where distinct enhanced ozone layers observed by TES could be related back to lightning events.
For these cases, we study the differences between the ozone observed by TES and simulated by GEOS-Chem to
infer deficiencies in the lightning NOx parameterization in the model. A different parameterization using recently
updated estimate of the NO production by flash is tested in the GEOS-Chem model and resulting predictions
compared to the TES data.
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
DE: 0365 Troposphere: composition and chemistry
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3329 Mesoscale meteorology
DE: 3360 Remote sensing
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting