Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-06-20030103_171800_20030103_220300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/03 |
Start Time | | 2003/01/03 17:18 |
End Time | | 2003/01/03 22:01 |
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 | | 15.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-06-20030103_171800_20030103_220300-constBx0 |
Minimum Dst Value | | -33 |
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 Geotail 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. |