Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit377-12-20021209_175200_20021209_223200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/09 |
Start Time | | 2002/12/09 17:52 |
End Time | | 2002/12/09 22:30 |
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 | | 16.83 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.59 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 151.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit377-12-20021209_175200_20021209_223200-constBx0 |
Minimum Dst Value | | -23 |
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. |