Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Mia_Lagergaard_041505_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 21 2001 |
Start Time | | 2001/08/21 11:00 |
End Time | | 2001/08/21 13:00 |
Key Words | | NBZ current study |
Model | | OpenGGCM |
Model Version | | 2.1-1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 14.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Mia_Lagergaard_041505_1 |
Minimum Dst Value | | -4 |
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.
Satellite data B plot for Polar for time period of this run.
![](data: 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)
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