Computer Science – Performance
Scientific paper
Sep 1996
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996dps....28.1404h&link_type=abstract
American Astronomical Society, DPS meeting #28, #14.04; Bulletin of the American Astronomical Society, Vol. 28, p.1117
Computer Science
Performance
2
Scientific paper
Cloud albedo has a large influence on the evolution of the surface environment and the climate of terrestrial planets. However, it is difficult to predict cloud properties theoretically when the atmospheric structure and composition are changed. To understand the variability of cloud during evolution, a simple physical model of Venus' cloud is developed. We established a simple method for estimation of cloud particle size. To derive optical properties of cloud, this estimation method is combined with the method developed by Krasnopolsky and Pollack [1994], which solves the position of the cloud layer and H_2SO_4 transport in the cloud layer. Our model predicts cloud structure and its albedo for given set of atmospheric structure and composition. The calculated results agrees well with observations: calculated albedo is 0.88 for 550 nm wavelength, while observed albedo is 0.85. Implications are as follows: (1) Because, there is a relation between H_2SO_4 production rate and H_2O abundance at high altitude, H_2SO_4 production rate is evaluated through the observation of H_2O abundance above the cloud. Judging from the observed dryness of Venus' upper atmosphere, present H_2SO_4 production rate is likely controlled by H_2O abundance in the atmosphere and is in a rather narrow range of 1.0 x 10(-16) to 1.4 x 10(-16) [m(-2) s(-1) ]. (2) Latitudinal variation in both albedo and H_2O mixing ratio at the cloud top are also predicted. Comparison between the model calculation and the observation would provide a method to check the performance of our model and to find controlling parameter of H_2SO_4 production.
Abe Yasuhiro
Hashimoto George L.
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