Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Martin_Connors_082708_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 12 2007 |
Start Time | | 2007/12/12 06:30 |
End Time | | 2007/12/12 11:00 |
Key Words | | substorm, velocity effects |
Model | | OpenGGCM |
Model Version | | 3.1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -33.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.50 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 91.00000 |
Conductance Model | | Sig-CTIM |
Corotation | | no |
Run Number | | Martin_Connors_082708_1 |
Minimum Dst Value | | -26 |
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 GOES-12 for time period of this run.
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)
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