Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit257-05-20020225_200700_20020226_005200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/25 |
Start Time | | 2002/02/25 20:07 |
End Time | | 2002/02/26 00:50 |
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 | | 8.84 |
Dipole Tilt, in Y-Z GSE plane, deg | | -32.16 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit257-05-20020225_200700_20020226_005200-constBx0 |
Minimum Dst Value | | -9 |
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. |