Simulation of the InterplanetaryB(z)Using a Data-driven Heliospheric Solar Wind Model

doi:10.3847/1538-4357/aba61f

NSSC OpenIR

	Simulation of the InterplanetaryB(z)Using a Data-driven Heliospheric Solar Wind Model
Alternative Title	WOS:000568285000001
	Li, Huichao 1; Feng, Xueshang 1; Zuo, Pingbing ; Wei, Fengsi 1
Source Publication	ASTROPHYSICAL JOURNAL
	2020
Volume	900 Issue:1 Pages:76
DOI	10.3847/1538-4357/aba61f
ISSN	0004-637X
Language	英语
Keyword	Magnetohydrodynamical simulations Solar wind Interplanetary magnetic fields Space weather SPACE WEATHER PREDICTION SUN CORONA EARTH VALIDATION DYNAMICS STREAMS SURFACE PLASMA
Abstract	Aimed to be ready for the transition from research to operation, we have developed a solar wind model by coupling a data-driven empirical coronal model with a magnetohydrodynamics heliospheric model. We performed a data-driven simulation of the solar wind for a two-year period during the declining and minimum phases of solar cycle 23. Comparisons with OMNI and Ulysses spacecraft data show that the model can reproduce the large-scale variations of the solar wind plasma parameters. The evolution of geocentric solar magnetospheric (GSM)B(x)andB(z)components are also reasonably duplicated by the model in terms of polarity and strength. Apparent signatures of the Russell-McPherron (R-M) effect are found from both observed data and simulated results, indicating that during the investigated interval the R-M effect is the dominant mechanism that controls the large-scale evolution of the north-south component of the interplanetary magnetic field in the GSM frame. The results demonstrate that the established model can provide valuable space weather information about the solar wind.
Indexed By	SCI
Citation statistics	Cited Times:2[WOS] [WOS Record] [Related Records in WOS]
Document Type	期刊论文
Identifier	http://ir.nssc.ac.cn/handle/122/7619
Collection	中国科学院国家空间科学中心
Affiliation	1.Harbin Inst Technol Shenzhen, Inst Space Sci & Appl Technol, Shenzhen 518055, Peoples R China 2.Chinese Acad Sci, SIGMA Weather Grp, State Key Lab Space Weather, Natl Space Sci Ctr, Beijing 100190, Peoples R China
Recommended Citation GB/T 7714	Li, Huichao,Feng, Xueshang,Zuo, Pingbing,et al. Simulation of the InterplanetaryB(z)Using a Data-driven Heliospheric Solar Wind Model[J]. ASTROPHYSICAL JOURNAL,2020,900(1):76.
APA	Li, Huichao,Feng, Xueshang,Zuo, Pingbing,&Wei, Fengsi.(2020).Simulation of the InterplanetaryB(z)Using a Data-driven Heliospheric Solar Wind Model.ASTROPHYSICAL JOURNAL,900(1),76.
MLA	Li, Huichao,et al."Simulation of the InterplanetaryB(z)Using a Data-driven Heliospheric Solar Wind Model".ASTROPHYSICAL JOURNAL 900.1(2020):76.

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