CRCM + BATS‒R‒US two‒way coupling

  • A. Glocer
    Geospace Physics Laboratory NASA Goddard Space Flight Center Greenbelt Maryland USA
  • M. Fok
    Geospace Physics Laboratory NASA Goddard Space Flight Center Greenbelt Maryland USA
  • X. Meng
    Department of Atmospheric Oceanic and Space Science University of Michigan Ann Arbor Michigan USA
  • G. Toth
    Department of Atmospheric Oceanic and Space Science University of Michigan Ann Arbor Michigan USA
  • N. Buzulukova
    Department of Astronomy University of Maryland College Park Maryland USA
  • S. Chen
    Universities Space Research Association (USRA) Columbia Maryland USA
  • K. Lin
    Geospace Physics Laboratory NASA Goddard Space Flight Center Greenbelt Maryland USA

書誌事項

公開日
2013-04
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
DOI
  • 10.1002/jgra.50221
公開者
American Geophysical Union (AGU)

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説明

<jats:p>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 Block‒Adaptive‒Tree Solar‒Wind Roe‒Type Upwind Scheme (BATS‒R‒US) 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 real‒time 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 field‒line region as compared to simulations without inner‒magnetosphere 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 Sym‒H 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.</jats:p>

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