Publication detail

Predicting the corona for the 21 August 2017 total solar eclipse

MIKIČ, Z. COOPER, D. LINKER, J. MACKAY, D. UPTON, L. RILEY, P. LIONELLO, R. TOROK, T. TITOV, V. JANVIER, W. DRUCKMÜLLER, M. PASACHOFF, J. CARLOS, W.

Original Title

Predicting the corona for the 21 August 2017 total solar eclipse

English Title

Predicting the corona for the 21 August 2017 total solar eclipse

Type

journal article in Web of Science

Language

en

Original Abstract

The total solar eclipse that occurred on 21 August 2017 across the United States provided an opportunity to test a magnetohydrodynamic model of the solar corona driven by measured magnetic fields. We used a new heating model based on the dissipation of Alfven waves, and a new energization mechanism to twist the magnetic field in filament channels. We predicted what the corona would look like one week before the eclipse. Here, we describe how this prediction was accomplished, and show that it compared favourably with observations of the eclipse in white light and extreme ultraviolet. The model allows us to understand the relationship of observed features, including streamers, corona! holes, prominences, polar plumes and thin rays, to the magnetic field. We show that the discrepancies between the model and observations arise from limitations in our ability to observe the Sun's magnetic field. Predictions of this kind provide opportunities to improve the models, forging the path to improved space weather prediction.

English abstract

The total solar eclipse that occurred on 21 August 2017 across the United States provided an opportunity to test a magnetohydrodynamic model of the solar corona driven by measured magnetic fields. We used a new heating model based on the dissipation of Alfven waves, and a new energization mechanism to twist the magnetic field in filament channels. We predicted what the corona would look like one week before the eclipse. Here, we describe how this prediction was accomplished, and show that it compared favourably with observations of the eclipse in white light and extreme ultraviolet. The model allows us to understand the relationship of observed features, including streamers, corona! holes, prominences, polar plumes and thin rays, to the magnetic field. We show that the discrepancies between the model and observations arise from limitations in our ability to observe the Sun's magnetic field. Predictions of this kind provide opportunities to improve the models, forging the path to improved space weather prediction.

Keywords

MAGNETIC-FIELD; ALFVEN WAVES; MAGNETOHYDRODYNAMIC TURBULENCE; MHD TURBULENCE;

Released

01.11.2018

Publisher

NATURE PUBLISHING GROUP

Location

MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND

Pages from

913

Pages to

921

Pages count

9

URL

Documents

BibTex


@article{BUT153206,
  author="Zoran {Mikič} and Downs {Cooper} and J.A. {Linker} and Duncan H. {Mackay} and Lisa A. {Upton} and P. {Riley} and R. {Lionello} and Tibor {Torok} and V.S. {Titov} and Wijaya {Janvier} and Miloslav {Druckmüller} and Jay {Pasachoff} and Wendi {Carlos}",
  title="Predicting the corona for the 21 August 2017 total solar eclipse",
  annote="The total solar eclipse that occurred on 21 August 2017 across the United States provided an opportunity to test a magnetohydrodynamic model of the solar corona driven by measured magnetic fields. We used a new heating model based on the dissipation of Alfven waves, and a new energization mechanism to twist the magnetic field in filament channels. We predicted what the corona would look like one week before the eclipse. Here, we describe how this prediction was accomplished, and show that it compared favourably with observations of the eclipse in white light and extreme ultraviolet. The model allows us to understand the relationship of observed features, including streamers, corona! holes, prominences, polar plumes and thin rays, to the magnetic field. We show that the discrepancies between the model and observations arise from limitations in our ability to observe the Sun's magnetic field. Predictions of this kind provide opportunities to improve the models, forging the path to improved space weather prediction.",
  address="NATURE PUBLISHING GROUP",
  chapter="153206",
  doi="10.1038/s41550-018-0562-5",
  howpublished="print",
  institution="NATURE PUBLISHING GROUP",
  number="11",
  volume="2",
  year="2018",
  month="november",
  pages="913--921",
  publisher="NATURE PUBLISHING GROUP",
  type="journal article in Web of Science"
}