Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit333-06-20020825_204200_20020826_012700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/25 |
Start Time | | 2002/08/25 20:42 |
End Time | | 2002/08/26 01:25 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -10.18 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.54 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 182.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit333-06-20020825_204200_20020826_012700-constBx0 |
Minimum Dst Value | | -12 |
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 GOES-9 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. |