Wang Yuxian, Blanc Michel, Louis Corentin, Wang Chi, André Nicolas, Adriani Alberto, Allegrini Frederic, Blelly Pierre-Louis, Bolton Scott, Bonfond Bertrand, Clark George, Dinelli Bianca Maria, Gérard Jean-Claude, Gladstone Randy, Grodent Denis, Kotsiaros Stavros, Kurth William, Lamy Laurent, Louarn Philippe, Marchaudon Aurélie, Mauk Barry, Mura Alessandro, Tao Chihiro
State Key Laboratory of Space Weather National Space Science Center Chinese Academy of Sciences Beijing China.
College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing China.
J Geophys Res Space Phys. 2021 Sep;126(9):e2021JA029469. doi: 10.1029/2021JA029469. Epub 2021 Sep 14.
The dynamics of the Jovian magnetosphere are controlled by the interplay of the planet's fast rotation, its main iogenic plasma source and its interaction with the solar wind. Magnetosphere-Ionosphere-Thermosphere (MIT) coupling processes controlling this interplay are significantly different from their Earth and Saturn counterparts. At the ionospheric level, they can be characterized by a set of key parameters: ionospheric conductances, electric currents and fields, exchanges of particles along field lines, Joule heating and particle energy deposition. From these parameters, one can determine (a) how magnetospheric currents close into the ionosphere, and (b) the net deposition/extraction of energy into/out of the upper atmosphere associated to MIT coupling. We present a new method combining Juno multi-instrument data (MAG, JADE, JEDI, UVS, JIRAM and Waves) and modeling tools to estimate these key parameters along Juno's trajectories. We first apply this method to two southern hemisphere main auroral oval crossings to illustrate how the coupling parameters are derived. We then present a preliminary statistical analysis of the morphology and amplitudes of these key parameters for eight among the first nine southern perijoves. We aim to extend our method to more Juno orbits to progressively build a comprehensive view of Jovian MIT coupling at the level of the main auroral oval.
木星磁层的动力学受到行星快速自转、其主要的电离等离子体源以及它与太阳风相互作用的共同控制。控制这种相互作用的磁层-电离层-热层（MIT）耦合过程与地球和土星的对应过程有显著不同。在电离层层面，它们可以由一组关键参数来表征：电离层电导率、电流和电场、沿磁力线的粒子交换、焦耳加热以及粒子能量沉积。从这些参数中，可以确定（a）磁层电流如何在电离层中闭合，以及（b）与MIT耦合相关的能量向高层大气的净沉积/提取。我们提出了一种新方法，结合朱诺号的多仪器数据（MAG、JADE、JEDI、UVS、JIRAM和Waves）以及建模工具，来估计沿朱诺号轨迹的这些关键参数。我们首先将此方法应用于南半球的两个主要极光椭圆带穿越情况，以说明耦合参数是如何推导出来的。然后，我们对前九个南半球近木点中的八个的这些关键参数的形态和幅度进行了初步统计分析。我们的目标是将我们的方法扩展到更多的朱诺号轨道，以便逐步构建出在主要极光椭圆带层面上的木星MIT耦合的全面视图。
