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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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