Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Lisa_Rosenqvist_022807_2a | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | November 19 2003 |
Start Time | | 2003/11/19 02:00 |
End Time | | 2003/11/19 03:00 |
Key Words | | generator |
Model | | BATSRUS |
Model Version | | v7.73 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -28.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.90 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 151.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Lisa_Rosenqvist_022807_2a |
Minimum Dst Value | | -18 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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