Issue |
A&A
Volume 626, June 2019
|
|
---|---|---|
Article Number | A30 | |
Number of page(s) | 9 | |
Section | Planets and planetary systems | |
DOI | https://doi.org/10.1051/0004-6361/201935388 | |
Published online | 06 June 2019 |
Principal components of short-term variability in the ultraviolet albedo of Venus
1
Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo,
Kashiwa,
Chiba Prefecture
277-8561,
Japan
e-mail: pushkarkopparla@gmail.com
2
Institute of Space and Astronautical Science (ISAS), Japan Aerospace Exploration Agency (JAXA),
Sagamihara,
Kanagawa Prefecture
252-5210,
Japan
Received:
2
March
2019
Accepted:
15
April
2019
We explore the dominant modes of variability in the observed albedo at the cloud tops of Venus using Akatsuki UVI 283 nm and 365 nm observations, which are sensitive to SO2 and unknown UV absorber distributions respectively. The observations, taken over the period Dec. 2016 to May 2018, consist of images of the dayside of Venus, most often observed at intervals of two hours, but interspersed with longer gaps. The orbit of the spacecraft does not allow for continuous observation of the full dayside and the unobserved regions cause significant gaps in the datasets. Each dataset is subdivided into three subsets for three observing periods, the unobserved data are interpolated, and each subset is then subjected to a principal component analysis to find six oscillating patterns in the albedo. Principal components in all three periods show similar morphologies at 283 nm, but are much more variable at 365 nm. Some spatial patterns and the timescales of these modes correspond to well-known physical processes in the atmosphere of Venus such as the ~4-day Kelvin wave, 5-day Rossby waves, and the overturning circulation, while others defy a simple explanation. We also a find a hemispheric mode that is not well understood and discuss its implications.
Key words: planets and satellites: individual: Venus / planets and satellites: atmospheres / techniques: photometric / methods: statistical
© ESO 2019
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