Physics
Scientific paper
May 2009
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009agusm.p22a..06j&link_type=abstract
American Geophysical Union, Spring Meeting 2009, abstract #P22A-06
Physics
6200 Planetary Sciences: Solar System Objects, 6295 Venus
Scientific paper
The dominant chemical cycle in Venus' mesosphere above the clouds (70-110 km altitude) is the CO2 cycle. The primary steps of this cycle are photodissociation of CO2 to produce CO and O on the day side, transport of CO and O from the day side to the night side, formation of O2 on the day and night sides, and production of CO2 from CO and O2. Many photochemical models have attempted to identify the mechanisms by which CO2 is produced, but none has satisfactorily reproduced the observational upper limit on the O2 abundance (Trauger and Lunine 1983, Krasnopolsky 2006). In these models (Yung and DeMore 1982, Krasnopolsky and Parshev 1983, Pernice et al 2004) the assumed mesospheric vertical pressure and temperature profiles were derived from Pioneer Venus data. However, recent SPICAV observations (Bertaux et al. 2007) indicate mesospheric temperatures at 110 km may be up to 50 K warmer than the standard values adopted from the Pioneer Venus data. The CO2 cross section is sensitive to temperature, so an increase in temperature in the upper part of the mesosphere will increase photodissociation in the upper part of the mesosphere and decrease photodissociation at lower altitudes. These changes should, in turn, affect the abundances and vertical profiles of CO, O2 and O. We have developed a simplified version of the Caltech/JPL photochemical model (Allen et al. 1981) which limits the mesospheric chemistry solely to carbon and oxygen species. Using temperature dependent CO2 cross-section data in this model, we will investigate the impact of temperature on the vertical profile of CO2 photodissociation and the calculated abundances of CO, O, and O2. Two sets of temperature dependent CO2 cross section data a) Lewis and Carver 1983, and b) Yoshino et al. 1996; Parkinson et al 2003 will be utilized in this study. The sensitivity of the model results to differences between the two sets of cross section measurements will be quantified.
Allen Marsha M.
Jessup Kandis
Mills F.
Yung Yuk
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