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Comparative Study of Data-driven Solar Coronal Field Models Using a Flux Emergence Simulation as a Ground-truth Data Set
Alternative TitleWOS:000522100700012
Toriumi, Shin; Takasao, Shinsuke1; Cheung, Mark C. M.; Jiang, Chaowei4,5; Guo, Yang6,7; Hayashi, Keiji3,8; Inoue, Satoshi9
Source PublicationASTROPHYSICAL JOURNAL
2020
Volume890Issue:2Pages:103
DOI10.3847/1538-4357/ab6b1f
ISSN0004-637X
Language英语
KeywordMAGNETIC-FIELDS MAGNETOHYDRODYNAMIC MODEL PART I HELICITY
AbstractFor a better understanding of the magnetic field in the solar corona and dynamic activities such as flares and coronal mass ejections, it is crucial to measure the time-evolving coronal field and accurately estimate the magnetic energy. Recently, a new modeling technique called the data-driven coronal field model, in which the time evolution of magnetic field is driven by a sequence of photospheric magnetic and velocity field maps, has been developed and revealed the dynamics of flare-productive active regions. Here we report on the first qualitative and quantitative assessment of different data-driven models using a magnetic flux emergence simulation as a ground-truth (GT) data set. We compare the GT field with those reconstructed from the GT photospheric field by four data-driven algorithms. It is found that, at minimum, the flux rope structure is reproduced in all coronal field models. Quantitatively, however, the results show a certain degree of model dependence. In most cases, the magnetic energies and relative magnetic helicity are comparable to or at most twice of the GT values. The reproduced flux ropes have a sigmoidal shape (consistent with GT) of various sizes, a vertically standing magnetic torus, or a packed structure. The observed discrepancies can be attributed to the highly non-force-free input photospheric field, from which the coronal field is reconstructed, and to the modeling constraints such as the treatment of background atmosphere, the bottom boundary setting, and the spatial resolution.
Indexed BySCI
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Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7522
Collection中国科学院国家空间科学中心
Affiliation1.Japan Aerosp Explorat Agcy JAXA, ISAS, Chuo Ku, 3-1-1 Yoshinodai, Sagamihara, Kanagawa 2525210, Japan
2.Natl Astron Observ Japan, 2-21-1 Osawa, Mitaka, Tokyo 1818588, Japan
3.Cheung, Mark C. M.] Lockheed Martin Solar & Astrophys Lab, 3251 Hanover St,Bldg 252, Palo Alto, CA 94304 USA
4.Stanford Univ, Hansen Expt Phys Lab, Stanford, CA 94305 USA
5.Harbin Inst Technol, Inst Space Sci & Appl Technol, Shenzhen 518055, Peoples R China
6.Chinese Acad Sci, Natl Space Sci Ctr, State Key Lab Space Weather, SIGMA Weather Grp, Beijing 100190, Peoples R China
7.Nanjing Univ, Sch Astron & Space Sci, Nanjing 210023, Peoples R China
8.Nanjing Univ, Key Lab Modern Astron & Astrophys, Nanjing 210023, Peoples R China
9.NorthWest Res Associates, Boulder, CO 80301 USA
10.Nagoya Univ, Inst Space Earth Environm Res ISEE, Chikusa Ku, Furo Cho, Nagoya, Aichi 4648601, Japan
Recommended Citation
GB/T 7714
Toriumi, Shin,Takasao, Shinsuke,Cheung, Mark C. M.,et al. Comparative Study of Data-driven Solar Coronal Field Models Using a Flux Emergence Simulation as a Ground-truth Data Set[J]. ASTROPHYSICAL JOURNAL,2020,890(2):103.
APA Toriumi, Shin.,Takasao, Shinsuke.,Cheung, Mark C. M..,Jiang, Chaowei.,Guo, Yang.,...&Inoue, Satoshi.(2020).Comparative Study of Data-driven Solar Coronal Field Models Using a Flux Emergence Simulation as a Ground-truth Data Set.ASTROPHYSICAL JOURNAL,890(2),103.
MLA Toriumi, Shin,et al."Comparative Study of Data-driven Solar Coronal Field Models Using a Flux Emergence Simulation as a Ground-truth Data Set".ASTROPHYSICAL JOURNAL 890.2(2020):103.
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