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Improving solar wind modeling at Mercury: Incorporating transient solar phenomena into the WSA‐ENLIL model with the Cone extension

Dewey, Ryan M.; Baker, Daniel N.; Anderson, Brian J.; Benna, Mehdi; Johnson, Catherine L.; Korth, Haje; Gershman, Daniel J.; Ho, George C.; McClintock, William E.; Odstrcil, Dusan; Philpott, Lydia C.; Raines, Jim M.; Schriver, David; Slavin, James A.; Solomon, Sean C.; Winslow, Reka M.; Zurbuchen, Thomas H.

Coronal mass ejections (CMEs) and other transient solar phenomena play important roles in magnetospheric and exospheric dynamics. Although a planet may interact only occasionally with the interplanetary consequences of these events, such transient phenomena can result in departures from the background solar wind that often involve more than an order of magnitude greater ram pressure and interplanetary electric field applied to the planetary magnetosphere. For Mercury, an order of magnitude greater ram pressure combined with high Alfvén speeds and reconnection rates can push the magnetopause essentially to the planet's surface, exposing the surface directly to the solar wind flow. In order to understand how the solar wind interacts with Mercury's magnetosphere and exosphere, previous studies have used the Wang‐Sheeley‐Arge (WSA)‐ENLIL solar wind modeling tool to calculate basic and composite solar wind parameters at Mercury's orbital location. This model forecasts only the background solar wind, however, and does not include major transient events. The Cone extension permits the inclusion of CMEs and related solar wind perturbations and thus enables characterization of the effects of strong solar wind disturbances on the Mercury system. The Cone extension is predicated on the assumption of constant angular and radial velocities of CMEs to integrate these phenomena into the WSA‐ENLIL coupled model. Comparisons of the model results with observations by the MESSENGER spacecraft indicate that the WSA‐ENLIL+Cone model more accurately forecasts total solar wind conditions at Mercury and has greater predictive power for magnetospheric and exospheric processes than the WSA‐ENLIL model alone.

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Title
JGR Space Physics
DOI
https://doi.org/10.1002/2015JA021194

More About This Work

Academic Units
Lamont-Doherty Earth Observatory
Seismology, Geology, and Tectonophysics
Published Here
August 11, 2020