Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit284-02-20020430_110800_20020430_155200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/30 |
Start Time | | 2002/04/30 11:08 |
End Time | | 2002/04/30 15:50 |
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 | | -21.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.66 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit284-02-20020430_110800_20020430_155200-constBx0 |
Minimum Dst Value | | -7 |
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-4 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. |