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.

1. TOWARD RELIABLE BENCHMARKING OF SOLAR FLARE FORECASTING METHODS

2. The Structure and Origin of Magnetic Clouds in the Solar Wind;Bothmer V.,1998

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

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence;Advances in Space Research;2024-07

2. A Superposed Epoch Analysis of Auroral Oval Coverage During Substorms Using Deep Learning‐Based Segmentation Models;Space Weather;2024-05

3. Using Solar Orbiter as an Upstream Solar Wind Monitor for Real Time Space Weather Predictions;Space Weather;2024-02

4. A Machine Learning Approach to Understanding the Physical Properties of Magnetic Flux Ropes in the Solar Wind at 1 au;The Astrophysical Journal;2024-01-01

5. Prediction Capability of Geomagnetic Events from Solar Wind Data Using Neural Networks;The Astrophysical Journal;2023-07-21