Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit399-01-20030128_213700_20030129_022200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/28 |
Start Time | | 2003/01/28 21:37 |
End Time | | 2003/01/29 02:20 |
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 | | 22.39 |
Dipole Tilt, in Y-Z GSE plane, deg | | -25.84 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 121.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit399-01-20030128_213700_20030129_022200-constBx0 |
Minimum Dst Value | | -11 |
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. |