HR: 17:30h
AN: A42G-06 [PDF]
TI: Arctic Chemical Ozone Loss Deduced from POAM III Using Chemical Transport Models
AU: * Singleton, C S
EM: shaw@lasp.colorado.edu
AF: Laboratory for Atmospheric and Space Physics, UCB 392
University of Colorado, Boulder, CO 80309-0392 United States
AU: Randall, C E
EM: randall@lasp.colorado.edu
AF: Laboratory for Atmospheric and Space Physics, UCB 392
University of Colorado, Boulder, CO 80309-0392 United States
AU: Chipperfield, M
EM: martyn@env.leeds.ac.uk
AF: School of the Environment, University of Leeds, Leeds, LS2 9JT
United Kingdom
AU: Davies, S
EM: stewart@env.leeds.ac.uk
AF: School of the Environment, University of Leeds, Leeds, LS2 9JT
United Kingdom
AU: Kinnison, D
EM: dkin@ucar.edu
AF: National Center for Atmospheric Research, Mesa Lab
P.O. Box 3000, Boulder, CO 80307-3000 United States
AU: Lefevre, F
EM: franck.lefevre@aero.jussieu.fr
AF: Service d'Aeronomie, Universite Pierre et Marie Curie
4 place Jussieu,BP 102
75252, Paris Cedex, 05
France
AU: Bevilacqua, R
EM: bevilacqua@nrl.navy.mil
AF: Naval Research Laboratory, Code 7220, Washington, DC, 20375 United States
AU: Hoppel, K
EM: karl.hoppel@nrl.navy.mil
AF: Naval Research Laboratory, Code 7220, Washington, DC, 20375 United States
AB:
Inferring ozone loss from satellite data requires that ozone variations due to dynamical perturbations be taken into account.
Currently several techniques to accomplish this exist; however, many only consider vertical descent of ozone. In order to
account for ozone variations due to both vertical descent and horizontal mixing, we use a three-dimensional chemical
transport model (CTM). In the work presented here, results from three CTMs, SLIMCAT, REPROBUS, and MOZART3, were used to
infer chemical ozone loss from observations from the Polar Ozone and Aerosol Measurement (POAM) III instrument inside the
vortex during the 1999/2000 and 2002/2003 Arctic Winters. In order to deduce the dynamical change of ozone each CTM was run
in a passive mode, in which ozone was treated as a dynamical tracer, from early December until the middle of March. We have
estimated chemical ozone loss by subtracting the model passive ozone, evaluated at the time and location of the POAM
observations, from the POAM measurements themselves. This technique relies on the accurate initialization of the CTM and a
realistic description of vertical/horizontal transport. Therefore, it is important to understand the sensitivity of ozone
loss inferences to model uncertainties, which vary depending on the meteorological conditions. Advantages/disadvantages of
this technique will be discussed as well as comparisons with different ozone loss techniques.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0340 Middle atmosphere--composition and chemistry
DE: 0341 Middle atmosphere--constituent transport and chemistry (3334)
SC: Atmospheric Sciences [A]
MN: 2003 Fall Meeting