Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit393-05-20030115_100000_20030115_144400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/15 |
Start Time | | 2003/01/15 10:00 |
End Time | | 2003/01/15 14:42 |
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 | | 17.40 |
Dipole Tilt, in Y-Z GSE plane, deg | | -0.15 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 145.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit393-05-20030115_100000_20030115_144400-constBx0 |
Minimum Dst Value | | -15 |
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 GOES-11 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. |