Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit282-06-20020426_120300_20020426_164700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/26 |
Start Time | | 2002/04/26 12:03 |
End Time | | 2002/04/26 16:45 |
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 | | -21.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.07 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 164.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit282-06-20020426_120300_20020426_164700-constBx0 |
Minimum Dst Value | | -4 |
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. |