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  Corotation Plasma Environment Model: An Empirical Probability Model of the Jovian Magnetosphere

Futaana, Y., Wang, X.-D., Roussos, E., Krupp, N., Wahlund, J.-E., Ågren, K., et al. (2018). Corotation Plasma Environment Model: An Empirical Probability Model of the Jovian Magnetosphere. IEEE Transactions on Plasma Science, 46(6), 2126-2145. doi:10.1109/TPS.2018.2831004.

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 Creators:
Futaana, Yoshifumi, Author
Wang, Xiao-Dong, Author
Roussos, Elias1, Author           
Krupp, Norbert1, Author           
Wahlund, Jan-Erik, Author
Ågren, Karin, Author
Fränz, Markus1, Author           
Barabash, Stas, Author
Lei, Fan, Author
Heynderickx, Daniel, Author
Truscott, Pete, Author
Cipriani, Fabrice, Author
Rodgers, David, Author
Affiliations:
1Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832288              

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Free keywords: Corotation plasma, empirical model, Jupiter magnetosphere
 MPIS_PROJECTS: JUICE
 MPIS_PROJECTS: JUICE: PEP
 MPIS_GROUPS: Planetary Plasmas
 Abstract: We developed a new empirical model for corotating plasma in the Jovian magnetosphere. The model, named the coro-
tation plasma environment model version 2 (CPEMv2), considers
the charge density, velocity vector, and ion temperature based on
Galileo/plasma system (PLS) ion data. In addition, we develop hot
electron temperature and density models based on Galileo/PLS
electron data. All of the models provide respective quantities in
the magnetic equator plane of 9–30RJ
, while the charge density
model can be extended to 3-D space. A characteristic feature of
the CPEM is its support of the percentile as a user input. This
feature enables us to model extreme conditions in addition to
normal states. In this paper, we review the foundations of the
new empirical model, present a general derivation algorithm,
and offer a detailed formulation of each parameter of the
CPEMv2. As all CPEM parameters are of the analytical form,
their implementation is straightforward, and execution involves
the use of a small number of computational resources. The
CPEM is flexible; for example, it can be extended, as new data
(from observations or simulation results) become available. The
CPEM can be used for the mission operation of the European
Space Agency’s mission to Jupiter, JUpiter ICy moons Explorer
(JUICE), and for future data analyses.

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Language(s): eng - English
 Dates: 2018-10-1620182018
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/TPS.2018.2831004
 Degree: -

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Title: IEEE Transactions on Plasma Science
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: 46 (6) Sequence Number: - Start / End Page: 2126 - 2145 Identifier: ISSN: 0093-3813
CoNE: https://pure.mpg.de/cone/journals/resource/954925463189