Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Masha_Kuznetsova_121507_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | March 23 2007 |
Start Time | | 2007/03/23 07:00 |
End Time | | 2007/03/23 14:00 |
Key Words | | Test SWMF V2.3, Roe scheme, limiter mc, betavalue 1.2 |
Model | | BATSRUS |
Model Version | | v8.00 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -8.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.50 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 72.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Masha_Kuznetsova_121507_1 |
Minimum Dst Value | | -10 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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