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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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