Empirical probability model of the cold plasma environment in Jovian   inner magnetosphere
  A new empirical, analytical model of cold plasma (< 10 keV) in the Jovian inner magnetosphere is constructed. Plasmas in this energy range impact surface charging. A new feature of this model is predicting each plasma parameter for a specified probability (percentile). The new model was produced as follows. We start from a reference model for each plasma parameter, which was scaled to fit the data of Galileo plasma spectrometer. The scaled model was then represented as a function of radial distance, magnetic local time, and magnetic latitude, presumably describing the mean states. Then, the deviation of the observed values from the model were attribute to the variability in the environment, which was accounted for by the percentile at a given location.The input parameters for this model are the spacecraft position and the percentile. The model is inteded to be used for the JUICE mission analysis. 
Yoshifumi Futaana, Xiao-Dong Wang, Elias Roussos, Pete Trouscott,   Daniel Heynderickx, Fabrice Cipriani, David Rodgers
physics.space-ph