Machine Learning Approach for Solar Wind Categorization-Reference-Cited by-同舟云学术

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Machine Learning Approach for Solar Wind Categorization

Published:2020-05 Issue:5 Volume:7 Page:
ISSN:2333-5084
Container-title:Earth and Space Science
language:en
Short-container-title:Earth and Space Science

Author:

Li Hui¹²^ORCID,Wang Chi¹³^ORCID,Tu Cui⁴⁵,Xu Fei⁶

Affiliation:

1. State Key 3 Laboratory of Space Weather, National Space Science CenterCAS Beijing China

2. School of Astronomy and Space ScienceUniversity of Chinese Academy of Sciences Beijing China

3. College of Earth and Planetary SciencesUniversity of Chinese Academy of Sciences Beijing China

4. Laboratory of Near Space EnvironmentNational Space Science Center, CAS Beijing China

5. College of Materials Sciences and Opto‐Electronic TechnologyUniversity of Chinese Academy of Sciences Beijing China

6. Physics DepartmentNanjing University of Information Science and Technology Nanjing China

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019EA000997

Reference74 articles.

1. A MODEL FOR THE SOURCES OF THE SLOW SOLAR WIND

2. Slow wind and magnetic topology in the solar minimum corona in 1996–1997

3. Arge C. N. Odstrcil D. Pizzo V. J. &Mayer L. R.(2003).Improved method for specifying solar wind speed near the Sun. Paper presented at the Solar Wind Ten https://doi.org/10.1063/1.1618574

4. Estimates of solar wind velocity gradients between 0.3 and 1 AU based on velocity probability distributions from Helios 1 at perihelion and aphelion

5. Helium and hydrogen velocity differences in the solar wind

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