Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: george_siscoe_090905_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | November 7 2004 |
Start Time | | 2004/11/07 19:00 |
End Time | | 2004/11/07 21:00 |
Key Words | | cusp-location-1 |
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 | | -7.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.00 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 24 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | george_siscoe_090905_1 |
Minimum Dst Value | | 18 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |