Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit318-04-20020720_182700_20020720_231200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/20 |
Start Time | | 2002/07/20 18:27 |
End Time | | 2002/07/20 23:10 |
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 | | -25.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.48 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit318-04-20020720_182700_20020720_231200-constBx0 |
Minimum Dst Value | | -22 |
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. |