HR: 16:45h
AN: A54C-04    [Abstracts]
TI: Combining TES Ozone with GOES Water Vapor to Discern Dynamically Driven Stratospheric Enhancements in the Upper Troposphere
AU: * Felker, S R
EM: sf3t@virginia.edu
AF: Dept. of Environ. Sciences University of Virginia, 291 McCormick Road, Charlottesville, VA 22904, United States
AU: Moody, J L
EM: moody@virginia.edu
AF: Dept. of Environ. Sciences University of Virginia, 291 McCormick Road, Charlottesville, VA 22904, United States
AU: Wimmers, A J
EM: wimmers@ssec.wisc.edu
AF: CIMSS University of Wisconsin, 1225 West Dayton St., Madison, WI 53706, United States
AU: Bowman, K W
EM: Kevin.W.Bowman@jpl.nasa.gov
AF: NASA Jet Propulsion Lab, 4800 Oak Grove Drive, Pasadena, CA 91109, United States
AU: Osterman, G B
EM: Gregory.B.Osterman@jpl.nasa.gov
AF: NASA Jet Propulsion Lab, 4800 Oak Grove Drive, Pasadena, CA 91109, United States
AB: As part of NASA INTEX-B we report on a satellite based empirical method for estimating the amount of stratospheric ozone present in the upper-troposphere (UT). To understand the role of anthropogenic emissions on ozone mixing ratios in the non-urban troposphere, it is vital to describe the dynamically variable background, which is influenced by the natural exchange of stratospheric ozone. Our derived product is based on the relationship between three quantities, 1) satellite measurements of UT ozone from the Tropospheric Emission Spectrometer (TES), 2) estimates of GOES Layer Average Specific Humidity (GLASH) based on the GOES water vapor channel, and 3) the dynamical tracer Potential Vorticity (PV) from the Global Forecast System model. The TES instrument, on the Aura satellite, produced nadir curtains of ozone mixing ratio. TES profiles were used to create a series of layer-averaged ozone values employing the weighting function for the atmospheric layer observed in the GLASH product, with a maximum contribution from 300-400hPa. Model PV was similarly weighted such that all three products describe the same layer. Atmospheric dynamics are a major control on ozone in this layer where stratospheric enhancements are associated with dry intrusions of PV rich air. Preliminary analyses using 22 TES overpasses (2570 TES retrievals from April and May, 2006) exhibit a strong correlation to the dynamical tracers. A Reduced Major Axis (RMA) linear regression of ozone and GLASH brightness temperatures (inversely related to specific humidity) results in an r² of 0.67; the RMA analysis of ozone and PV results in an r² of 0.76. A multiple regression using both GLASH and PV values in a least-squares fit of TES ozone results in an r² of 0.82. Given that over 80% of the TES variability in the UT is explained by variations in dynamical tracers, we have used this relationship, and the coverage of the GOES product to derive a satellite based image of dynamically variable ozone in the UT.
DE: 0300 ATMOSPHERIC COMPOSITION AND STRUCTURE
DE: 0365 Troposphere: composition and chemistry
DE: 0368 Troposphere: constituent transport and chemistry
DE: 3362 Stratosphere/troposphere interactions
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting