Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit249-04-20020206_143600_20020206_192000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/06 |
Start Time | | 2002/02/06 14:36 |
End Time | | 2002/02/06 19:18 |
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 | | 6.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.53 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit249-04-20020206_143600_20020206_192000-constBx0 |
Minimum Dst Value | | -61 |
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 Polar 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. |