Prediction of solar wind speed at 1 AU using an artificial neural network

Y Yang, F Shen, Z Yang, X Feng - Space Weather, 2018 - Wiley Online Library
A hybrid intelligent source surface model applying the artificial neural network tactic for solar
wind speed prediction is presented in this paper. The model is a hybrid system merging …

Modeling the global distribution of solar wind parameters on the source surface using multiple observations and the artificial neural network technique

Y Yang, F Shen - Solar Physics, 2019 - Springer
The global distribution of magnetic field and other plasma parameters on the source surface,
which we set at 2.5 solar radii, is important for coronal and heliospheric modeling. In this …

Three-Dimensional MHD Modeling of Interplanetary Solar Wind Using Self-Consistent Boundary Condition Obtained from Multiple Observations and Machine …

Y Yang, F Shen - Universe, 2021 - mdpi.com
Three-dimensional (3-d) magnetohydrodynamics (MHD) modeling is a key method for
studying the interplanetary solar wind. In this paper, we introduce a new 3-d MHD solar wind …

Improving Coronal Magnetic Field Models Using Image Optimization

SI Jones, VM Uritsky, JM Davila… - The Astrophysical …, 2020 - iopscience.iop.org
We have reported previously on our development and testing of a new method for using
coronal images to improve coronal magnetic field models. In this technique, which we call …

多种观测数据驱动的三维行星际太阳风MHD 模拟

杨易, 沈芳, 杨子才 - 空间科学学报, 2020 - cjss.ac.cn
三维磁流体力学(MHD) 数值模拟是行星际太阳风研究的重要手段. 本文发展了一种由多种观测
数据驱动的三维行星际太阳风MHD 数值模型. 模型的计算区域为0.1 AU 到1AU 附近, 使用Lax …

Image-optimized coronal magnetic field models

SI Jones, V Uritsky, JM Davila - The Astrophysical Journal, 2017 - iopscience.iop.org
We have reported previously on a new method we are developing for using image-based
information to improve global coronal magnetic field models. In that work, we presented …

WSA 太阳风经验模型及其应用

杨子才, 沈芳, 杨易, 冯学尚 - 空间科学学报, 2018 - cjss.ac.cn
Wang-Sheely-Arge (WSA) 模型是对准稳态太阳风的经验和物理相结合的描述,
其利用观测的日面磁图作为输入, 可以提前3 到4 天预测L1 点处的太阳风速度和行星际磁场极性 …

基于深度学习的多步预测方法在太阳风速度预测上的应用

毛凯舟, 谢宗霞, 孙彦茹, 刘梓璇 - 航天器环境工程, 2021 - seejournal.cn
为对近地环境太阳风状况进行可靠预测, 引入基于深度学习的多步预测方法来预测在太阳与地球
之间的拉格朗日点1 (L1) 处距离输入观测数据序列未来24, 48, 72, 96 h 的太阳风速度 …

Analysis of present research on the WSA solar wind model

Y Zicai, S Fang, Y Yi, F Xueshang - 空间科学学报, 2018 - cjss.ac.cn
Abstract The Wang-Sheeley-Arge (WSA) model is an empirical model that can predict the
background solar wind speed and Interplanetary Magnetic Field (IMF) polarity on the Earth …

Simulation of interplanetary solar wind with three-dimensional MHD model driven by multiple observations

Y Yi, S Fang, Y Zicai - 空间科学学报, 2020 - cjss.ac.cn
Three-dimensional Magnetohydrodynamics (MHD) modeling is a key method for studying
the interplanetary solar wind. This paper develops a new solar wind MHD model driven by …