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Photoemission and electrostatic potentials on the dayside lunar surface in the terrestrial magnetotail lobes.
Harada, Y; Poppe, A R; Halekas, J S; Chamberlin, P C; McFadden, J P.
Afiliação
  • Harada Y; Space Sciences Laboratory, University of California, Berkeley, California, USA.
  • Poppe AR; Department of Physics and Astronomy, University of Iowa, Iowa City, Iowa, USA.
  • Halekas JS; Space Sciences Laboratory, University of California, Berkeley, California, USA.
  • Chamberlin PC; Department of Physics and Astronomy, University of Iowa, Iowa City, Iowa, USA.
  • McFadden JP; NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Geophys Res Lett ; 44(11): 5276-5282, 2017 Jun 16.
Article em En | MEDLINE | ID: mdl-33414571
ABSTRACT
Despite the need to accurately predict and assess the lunar electrostatic environment in all ambient conditions that the Moon encounters, photoemission and electrostatic potentials on the dayside lunar surface in the terrestrial magnetotail lobes remain poorly characterized. We study characteristics and variabilities of lunar photoelectron energy spectra by utilizing Acceleration, Reconnection, Turbulence, and Electrodynamics of the Moon's Interaction with the Sun (ARTEMIS) and Apollo measurements in combination with the Flare Irradiance Spectral Model (FISM). We confirm that the photoelectron spectral shapes are consistent between ARTEMIS and Apollo and that the photoelectron flux is linearly correlated with the FISM solar photon flux. We develop an observation-based model of lunar photoelectron energy distributions, thereby deriving the current balance surface potential. The model predicts that dayside lunar surface potentials in the tail lobes (typically tens of volts) could increase by a factor of 2 - 3 during strong solar flares.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Geophys Res Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Geophys Res Lett Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos