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 Polar 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. |