DATA-CONSTRAINED CORONAL MASS EJECTIONS IN A GLOBAL MAGNETOHYDRODYNAMICS MODEL

被引：80

作者：

Jin, M. ^{[1
]}

Manchester, W. B. ^{[2
]}

van der Holst, B. ^{[2
]}

Sokolov, I. ^{[2
]}

Toth, G. ^{[2
]}

Mullinix, R. E. ^{[3
]}

Taktakishvili, A. ^{[3
,4
]}

Chulaki, A. ^{[3
]}

Gombosi, T. I. ^{[2
]}

机构：

[1] Lockheed Martin Solar & Astrophys Lab, Palo Alto, CA 94304 USA

[2] Univ Michigan, Climate & Space Sci & Engn, Ann Arbor, MI 48109 USA

[3] NASA, Goddard Space Flight Ctr, Community Coordinated Modeling Ctr, Greenbelt, MD 20771 USA

[4] Catholic Univ Amer, Washington, DC 20064 USA

来源：

ASTROPHYSICAL JOURNAL | 2017年 / 834卷 / 02期

基金：

美国国家科学基金会;

关键词：

interplanetary medium; magnetohydrodynamics (MHD); methods: numerical; solar wind; Sun: corona; Sun: coronal mass ejections (CMEs); 3-DIMENSIONAL MHD SIMULATION; SPACE WEATHER EVENT; SOLAR-WIND MODEL; CONE-MODEL; INTERPLANETARY PROPAGATION; HELIOSPHERIC MODEL; MAGNETIC-FIELDS; HALO CMES; SUN; DRIVEN;

D O I：

10.3847/1538-4357/834/2/173

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We present a first-principles-based coronal mass ejection (CME) model suitable for both scientific and operational purposes by combining a global magnetohydrodynamics (MHD) solar wind model with a flux-rope-driven CME model. Realistic CME events are simulated self-consistently with high fidelity and forecasting capability by constraining initial flux rope parameters with observational data from GONG, SOHO/LASCO, and STEREO/COR. We automate this process so that minimum manual intervention is required in specifying the CME initial state. With the newly developed data-driven Eruptive Event Generator using Gibson-Low configuration, we present a method to derive Gibson-Low flux rope parameters through a handful of observational quantities so that the modeled CMEs can propagate with the desired CME speeds near the Sun. A test result with CMEs launched with different Carrington rotation magnetograms is shown. Our study shows a promising result for using the first-principles- based MHD global model as a forecasting tool, which is capable of predicting the CME direction of propagation, arrival time, and ICME magnetic field at 1 au (see the companion paper by Jin et al. 2016a).

引用

页数：9