Machine Learning for Predicting the B z Magnetic Field Component From Upstream in Situ Observations of Solar Coronal Mass Ejections-Reference-Cited by-同舟云学术

Machine Learning for Predicting the B z Magnetic Field Component From Upstream in Situ Observations of Solar Coronal Mass Ejections

Published:2021-12 Issue:12 Volume:19 Page:
ISSN:1542-7390
Container-title:Space Weather
language:en
Short-container-title:Space Weather

Author:

Reiss M. A.¹^ORCID,Möstl C.¹^ORCID,Bailey R. L.²^ORCID,Rüdisser H. T.³⁴,Amerstorfer U. V.¹^ORCID,Amerstorfer T.¹^ORCID,Weiss A. J.¹⁴^ORCID,Hinterreiter J.¹⁴^ORCID,Windisch A.³⁵⁶^ORCID

Affiliation:

1. Space Research Institute Austrian Academy of Sciences Graz Austria

2. Zentralanstalt für Meteorologie und Geodynamik Vienna Austria

3. Know‐Center GmbH Graz Austria

4. Institute of Physics University of Graz Graz Austria

5. Department of Physics Washington University, St. Louis St. Louis MO USA

6. RL Community AI AUSTRIA Vienna Austria

Funder

Austrian Science Fund

Publisher

American Geophysical Union (AGU)

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021SW002859

Reference54 articles.

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3. Magnetic loop behind an interplanetary shock;Burlaga L.;Voyager, Helios, and IMP 8 observations,1981

4. Magnetic clouds and force-free fields with constant alpha

5. Theory of prominence eruption and propagation: Interplanetary consequences

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