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 GOES-8 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. |