An Empirically Driven Time-Dependent Model of the Solar Wind

10th International Conference on Numerical Modeling of Space Plasma Flows: ASTRONUM-2015

Linker, Jon A.^1 ; Caplan, Ronald M.^1 ; Downs, Cooper^1 ; Lionello, Roberto^1 ; Riley, Pete^1 ; Mikic, Zoran^1 ; Henney, Carl J.^2 ; Arge, Charles N.^2 ; Kim, Tae^3 ; Pogorelov, Nikolai^3

Predictive Science Inc., San Diego

CA

92121, United States^1

Space Vehicles Dirct., Air Force Research Laboratory, Kirtland AFB

NM

87117, United States^2

Department of Space Science, University of Alabama, Huntsville

AL 35899, United States^3

关键词: Coronal magnetic fields;    Development and applications;    Interplanetary medium;    Long-term models;    Model performance;    Outer heliosphere;    Steady-state models;    Time-dependent models;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/719/1/012012/pdf
DOI  :  10.1088/1742-6596/719/1/012012

来源: IOP

【 摘 要 】

We describe the development and application of a time-dependent model of the solar wind. The model is empirically driven, starting from magnetic maps created with the Air Force Data Assimilative Photospheric flux Transport (ADAPT) model at a daily cadence. Potential field solutions are used to model the coronal magnetic field, and an empirical specification is used to develop boundary conditions for an MHD model of the solar wind. The time-dependent MHD simulation shows classic features of stream structure in the interplanetary medium that are seen in steady-state models; it also shows time evolutionary features that do not appear in a steady-state approach. The model results compare reasonably well with 1 AU OMNI observations. Data gaps when SOLIS magnetograms were unavailable hinder the model performance. The reasonable comparisons with observations suggest that this modeling approach is suitable for driving long term models of the outer heliosphere. Improvements to the ingestion of magnetograms in flux transport models will be necessary to apply this approach in a time-dependent space weather model.