Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit269-03-20020325_234200_20020326_042700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/03/25 |
Start Time | | 2002/03/25 23:42 |
End Time | | 2002/03/26 04:25 |
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 | | 5.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 169.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit269-03-20020325_234200_20020326_042700-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-3 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. |