Modeling the Global Distribution of Solar Wind Parameters on the Source Surface Using Multiple Observations and the Artificial Neural Network Technique-Reference-Cited by-同舟云学术

Modeling the Global Distribution of Solar Wind Parameters on the Source Surface Using Multiple Observations and the Artificial Neural Network Technique

Published:2019-08 Issue:8 Volume:294 Page:
ISSN:0038-0938
Container-title:Solar Physics
language:en
Short-container-title:Sol Phys

Author:

Yang Yi,Shen Fang^ORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

http://link.springer.com/content/pdf/10.1007/s11207-019-1496-5.pdf

Reference77 articles.

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3. Arge, C.N., Pizzo, V.J.: 2000, J. Geophys. Res. Space Phys. 105, 10465. DOI .

4. Arge, C.N., Odstrcil, D., Pizzo, V.J., Mayer, L.R.: 2003, AIP Conf. Proc. 679, 190. DOI .

5. Billings, D.E.: 1966, A Guide to the Solar Corona, Academic Press, New York.

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