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 Cluster-1 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. |