Vertical Structure and Color of Jovian Latitudinal Cloud Bands during the Juno Era
Vertical Structure and Color of Jovian Latitudinal Cloud Bands during the Juno Era
复制标题
朱诺时代木星纬向云带的垂直结构和颜色
DOI：
--
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
P. Irwin
中科院分区：
文献类型：
--
作者：
E. Dahl;N. Chanover;G. Orton;K. Baines;J. Sinclair;D. Voelz;Erandi Wijerathna;P. D. Strycker;P. Irwin
木星大气层中的着色剂的身份以及木星最上层云层的确切结构还有待最终了解。木星对流层云的Crème Brú lée模型最初由Baines等人提出，并由Sromovsky等人和Baines等人扩展，假设卡尔森等人测量的发色团是木星对流层中的单一着色剂。在这项工作中，我们使用朱诺号飞船在2017年3月第五次近木星通过期间测量的光谱来测试木星最上层云层的Crème Brélée模型的有效性。这些数据是作为支持朱诺号使命的国际地面观测活动的一部分获得的，使用的是新墨西哥州州立大学声光成像照相机，位于美国新墨西哥州太阳黑子阿帕奇角天文台的3.5米望远镜。我们发现Crème Brôlée模型云层方案可以通过卡尔森等人的发色团和对其虚折射率光谱的修改来再现木星的可见光谱。虽然Crème Brélée模型为木星云带区域（如北赤道带和赤道带）提供了合理的结果，但我们发现，对于独特的天气事件（如我们的测量捕获的2016-2017年南赤道带爆发），这不是一个安全的假设。
The identity of the coloring agent(s) in Jupiter’s atmosphere and the exact structure of Jupiter’s uppermost cloud deck are yet to be conclusively understood. The Crème Brûlée model of Jupiter’s tropospheric clouds, originally proposed by Baines et al. and expanded upon by Sromovsky et al. and Baines et al., presumes that the chromophore measured by Carlson et al. is the singular coloring agent in Jupiter’s troposphere. In this work, we test the validity of the Crème Brûlée model of Jupiter’s uppermost cloud deck using spectra measured during the Juno spacecraft’s fifth perijove pass in 2017 March. These data were obtained as part of an international ground-based observing campaign in support of the Juno mission using the New Mexico State University Acousto-optic Imaging Camera at the 3.5 m telescope at Apache Point Observatory in Sunspot, NM, USA. We find that the Crème Brûlée model cloud-layering scheme can reproduce Jupiter’s visible spectrum both with the Carlson et al. chromophore and with modifications to its imaginary index of refraction spectrum. While the Crème Brûlée model provides reasonable results for regions of Jupiter’s cloud bands such as the North Equatorial Belt and Equatorial Zone, we find that it is not a safe assumption for unique weather events, such as the 2016–2017 Southern Equatorial Belt outbreak that was captured by our measurements.