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.
Satellite data B plot for Polar for time period of this run.
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