Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit394-08-20030118_092500_20030118_141000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/18 |
Start Time | | 2003/01/18 09:25 |
End Time | | 2003/01/18 14:08 |
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 | | 18.33 |
Dipole Tilt, in Y-Z GSE plane, deg | | -0.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit394-08-20030118_092500_20030118_141000-constBx0 |
Minimum Dst Value | | -8 |
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-3 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. |