Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit392-02-20030112_104100_20030112_152600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/12 |
Start Time | | 2003/01/12 10:41 |
End Time | | 2003/01/12 15:24 |
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 | | 16.39 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.23 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 167.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit392-02-20030112_104100_20030112_152600-constBx0 |
Minimum Dst Value | | -17 |
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-12 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. |