Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit308-05-20020627_022400_20020627_071100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/27 |
Start Time | | 2002/06/27 02:24 |
End Time | | 2002/06/27 07:09 |
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 | | -13.98 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.86 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 143.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit308-05-20020627_022400_20020627_071100-constBx0 |
Minimum Dst Value | | 0 |
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-3 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. |