Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit248-04-20020204_053300_20020204_101700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/04 |
Start Time | | 2002/02/04 05:33 |
End Time | | 2002/02/04 10:15 |
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 | | 23.45 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 228.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit248-04-20020204_053300_20020204_101700-constBx0 |
Minimum Dst Value | | -16 |
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. |