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Modeling observations of solar coronal mass ejections with heliospheric imagers verified with the Heliophysics System Observatory.
Möstl, C; Isavnin, A; Boakes, P D; Kilpua, E K J; Davies, J A; Harrison, R A; Barnes, D; Krupar, V; Eastwood, J P; Good, S W; Forsyth, R J; Bothmer, V; Reiss, M A; Amerstorfer, T; Winslow, R M; Anderson, B J; Philpott, L C; Rodriguez, L; Rouillard, A P; Gallagher, P; Nieves-Chinchilla, T; Zhang, T L.
Afiliação
  • Möstl C; Space Research Institute Austrian Academy of Sciences Graz Austria.
  • Isavnin A; IGAM-Kanzelhöhe Observatory, Institute of Physics University of Graz Graz Austria.
  • Boakes PD; Department of Physics University of Helsinki Helsinki Finland.
  • Kilpua EKJ; Space Research Institute Austrian Academy of Sciences Graz Austria.
  • Davies JA; IGAM-Kanzelhöhe Observatory, Institute of Physics University of Graz Graz Austria.
  • Harrison RA; Department of Physics University of Helsinki Helsinki Finland.
  • Barnes D; RAL Space Rutherford Appleton Laboratory Harwell UK.
  • Krupar V; RAL Space Rutherford Appleton Laboratory Harwell UK.
  • Eastwood JP; RAL Space Rutherford Appleton Laboratory Harwell UK.
  • Good SW; University College London London UK.
  • Forsyth RJ; Institute of Atmospheric Physics CAS Prague Czech Republic.
  • Bothmer V; Blackett Laboratory Imperial College London London UK.
  • Reiss MA; Blackett Laboratory Imperial College London London UK.
  • Amerstorfer T; Blackett Laboratory Imperial College London London UK.
  • Winslow RM; Institute for Astrophysics University of Göttingen Göttingen Germany.
  • Anderson BJ; IGAM-Kanzelhöhe Observatory, Institute of Physics University of Graz Graz Austria.
  • Philpott LC; Space Research Institute Austrian Academy of Sciences Graz Austria.
  • Rodriguez L; Institute for the Study of Earth, Oceans, and Space University of New Hampshire Durham New Hampshire USA.
  • Rouillard AP; Applied Physics Laboratory The Johns Hopkins University Laurel Maryland USA.
  • Gallagher P; Department of Earth, Ocean and Atmospheric Sciences University of British Columbia Vancouver British Columbia Canada.
  • Nieves-Chinchilla T; Solar Terrestrial Center of Excellence-SIDC Royal Observatory of Belgium Brussels Belgium.
  • Zhang TL; Institut de Recherche en Astrophysique et Planétologie Université de Toulouse (UPS) Toulouse France.
Space Weather ; 15(7): 955-970, 2017 07.
Article em En | MEDLINE | ID: mdl-28983209
ABSTRACT
We present an advance toward accurately predicting the arrivals of coronal mass ejections (CMEs) at the terrestrial planets, including Earth. For the first time, we are able to assess a CME prediction model using data over two thirds of a solar cycle of observations with the Heliophysics System Observatory. We validate modeling results of 1337 CMEs observed with the Solar Terrestrial Relations Observatory (STEREO) heliospheric imagers (HI) (science data) from 8 years of observations by five in situ observing spacecraft. We use the self-similar expansion model for CME fronts assuming 60° longitudinal width, constant speed, and constant propagation direction. With these assumptions we find that 23%-35% of all CMEs that were predicted to hit a certain spacecraft lead to clear in situ signatures, so that for one correct prediction, two to three false alarms would have been issued. In addition, we find that the prediction accuracy does not degrade with the HI longitudinal separation from Earth. Predicted arrival times are on average within 2.6 ± 16.6 h difference of the in situ arrival time, similar to analytical and numerical modeling, and a true skill statistic of 0.21. We also discuss various factors that may improve the accuracy of space weather forecasting using wide-angle heliospheric imager observations. These results form a first-order approximated baseline of the prediction accuracy that is possible with HI and other methods used for data by an operational space weather mission at the Sun-Earth L5 point.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article