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

Published: 18-11-2019| Version 1 | DOI: 10.17632/mg2nskjzm2.1
Contributors:
Alberto Adriani,
Annalisa Bracco,
Davide Grassi,
Maria Luisa Moriconi,
Alessandro Mura,
Glenn S. Orton,
francesca altieri,
Andrew Ingersoll,
Sushil K. Atreya,
Jonathan Lunine,
Alessandra Migliorini,
Raffaella Noschese,
Andrea Cicchetti,
Roberto Sordini,
Federico Tosi,
Giuseppe Sindoni,
Christina Plainaki,
Bianca Maria Dinelli,
Diego Turrini,
Gianrico Filacchione,
Giuseppe Piccioni,
Scott J. Bolton

Description

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.

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