Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Richard_Vondrak_110102_1.1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | October 07 2002 |
Start Time | | 2002/10/07 0:00 |
End Time | | 2002/10/08 0:00 |
Key Words | | field line tracing |
Model | | UCLA-GGCM |
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 | | -6.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -22.70 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 164.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Richard_Vondrak_110102_1.1 |
Minimum Dst Value | | -115 |
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-2 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. |