Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit306-07-20020622_171400_20020622_215800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/22 |
Start Time | | 2002/06/22 17:14 |
End Time | | 2002/06/22 21:56 |
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 | | -30.79 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.94 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 146.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit306-07-20020622_171400_20020622_215800-constBx0 |
Minimum Dst Value | | 6 |
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. |