CRCM+BATS-R-US two-way coupling

被引:64
|
作者
Glocer, A. [1 ]
Fok, M. [1 ]
Meng, X. [2 ]
Toth, G. [2 ]
Buzulukova, N. [1 ,3 ,4 ]
Chen, S. [5 ]
Lin, K. [1 ]
机构
[1] NASA, Goddard Space Flight Ctr, Geospace Phys Lab, Greenbelt, MD USA
[2] Univ Michigan, Dept Atmospher Ocean & Space Sci, Ann Arbor, MI 48109 USA
[3] Univ Maryland, Dept Astron, College Pk, MD 20742 USA
[4] NASA, Goddard Space Flight Ctr, CRESST, Greenbelt, MD 20771 USA
[5] Univ Space Res Assoc, Columbia, MD USA
关键词
magnetosphere; Ring Current; MHD; Modeling; Model Coupling; BLOCK-ADAPTIVE GRIDS; RING CURRENT; INNER MAGNETOSPHERE; GEOMAGNETIC STORMS; NOSE STRUCTURES; FIELD MODEL; MAGNETOHYDRODYNAMICS; SIMULATION; PROTONS; SHEET;
D O I
10.1002/jgra.50221
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We present the coupling methodology and validation of a fully coupled inner and global magnetosphere code using the infrastructure provided by the Space Weather Modeling Framework (SWMF). In this model, the Comprehensive Ring Current Model (CRCM) represents the inner magnetosphere, while the BlockAdaptiveTree SolarWind RoeType Upwind Scheme (BATSRUS) represents the global magnetosphere. The combined model is a global magnetospheric code with a realistic ring current and consistent electric and magnetic fields. The computational performance of the model was improved to surpass realtime execution by the use of the Message Passing Interface (MPI) to parallelize the CRCM. Initial simulations under steady driving found that the coupled model resulted in a higher pressure in the inner magnetosphere and an inflated closed fieldline region as compared to simulations without innermagnetosphere coupling. Our validation effort was split into two studies. The first study examined the ability of the model to reproduce Dst for a range of events from the Geospace Environment Modeling (GEM) Dst Challenge. It also investigated the possibility of a baseline shift and compared two approaches to calculating Dst from the model. We found that the model did a reasonable job predicting Dst and SymH according to our two metrics of prediction efficiency and predicted yield. The second study focused on the specific case of the 22 July 2009 moderate geomagnetic storm. In this study, we directly compare model predictions and observations for Dst, THEMIS energy spectragrams, TWINS ENA images, and GOES 11 and 12 magnetometer data. The model did an adequate job reproducing trends in the data. Moreover, we found that composition can have a large effect on the result.
引用
收藏
页码:1635 / 1650
页数:16
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