Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Jian_Yang_103008_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 29 2004 |
Start Time | | 2004/10/29 09:00 |
End Time | | 2004/10/29 14:00 |
Key Words | | 2004-10-29-Substorm-OpenGGCM |
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 | | -12.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 127.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Jian_Yang_103008_2 |
Minimum Dst Value | | 7 |
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-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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