Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Masha_Kuznetsova_121507_1a | |
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_1a |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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