Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit391-05-20030110_155400_20030110_203900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/10 |
Start Time | | 2003/01/10 15:54 |
End Time | | 2003/01/10 20:37 |
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 | | 13.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.54 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit391-05-20030110_155400_20030110_203900-constBx0 |
Minimum Dst Value | | -22 |
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-2 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. |