Data-driven modeling of the solar wind from 1 Rsto 1 AU
Author:
Affiliation:
1. SIGMA Weather Group, State Key Laboratory for Space Weather; National Space Science Center, Chinese Academy of Sciences; Beijing China
2. College of Earth Sciences; Graduate University of Chinese Academy of Sciences; Beijing China
Funder
National Basic Research Program of China
National Natural Science Foundation of China
Knowledge Innovation Program of the Chinese Academy of Sciences
Publisher
American Geophysical Union (AGU)
Subject
Space and Planetary Science,Geophysics
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015JA021911/fullpdf
Reference116 articles.
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3. Improvement in the prediction of solar wind conditions using near-real time solar magnetic field updates;Arge;J. Geophys. Res.,2000
4. Two solar cycles of nonincreasing magnetic flux;Arge;J. Geophys. Res.,2002
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