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Data for: Two-year observations of the Jupiter polar regions by JIRAM on board Juno

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Mendeley Data2024-01-31 更新2024-06-26 收录
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资源简介:
We observed the evolution of Jupiter’s polar cyclonic structures over two years between February 2017 and February 2019, using polar observations by the Jovian InfraRed Auroral Mapper, JIRAM, on the Juno mission. Images and spectra were collected by the instrument in the 5-µm wavelength range. The images were used to monitor the development of the cyclonic and anticyclonic structures at latitudes higher than 80° both in the northern and the southern hemispheres. Spectroscopic measurements were then used to monitor the abundances of the minor atmospheric constituents water vapor, ammonia, phosphine and germane in the polar regions, where the atmospheric optical depth is less than 1. Finally, we performed a comparative analysis with oceanic cyclones on Earth in an attempt to explain the spectral characteristics of the cyclonic structures we observe in Jupiter’s polar atmosphere. The data stored in this repository permit to reproduce the 12 figures presented in the paper. For most of the figure, data files have self explaining titles and are directly connected to the figures or the figure panels to which they refer. For the maps of figures 1, 2 and 3 there are 3 files for each map in the figures: the 3 files data respectively contain the 3 coordinates needed to rebuild the maps (latitude, longitude and optical depth). For figures from 6 to 10 there is a proper description in a text file on how the data can be used. Mat files of figure 12 are generated with MATLAB_R2018A.

我们于2017年2月至2019年2月的两年观测周期内,借助朱诺号(Juno)探测任务搭载的木星红外极光绘图仪(Jovian InfraRed Auroral Mapper,简称JIRAM)的极区观测数据,追踪了木星极地气旋结构的演化过程。该仪器在5微米波段采集了图像与光谱数据。我们利用这些图像监测了南北半球纬度高于80°区域的气旋与反气旋结构的演化情况。随后通过光谱测量,我们对大气光学厚度小于1的极区中,大气微量组分——水蒸气、氨、磷化氢与锗烷——的丰度进行了监测。最后,我们将观测结果与地球上海洋气旋开展对比分析,以期阐释木星极地大气中气旋结构的光谱特征。本仓库存储的数据可复现论文中呈现的12幅图表。绝大多数数据文件的标题清晰易懂,且与对应图表或图表子面板直接关联。针对图1、图2与图3中的地图数据,每幅地图对应3个数据文件:这三个文件分别包含重建该地图所需的三类坐标——纬度、经度与大气光学厚度。针对图6至图10,仓库中附有文本文件,详细说明数据的使用方法。图12对应的MATLAB数据文件是使用MATLAB_R2018A生成的。
创建时间:
2024-01-31
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