Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit362-09-20021103_111300_20021103_155800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/03 |
Start Time | | 2002/11/03 11:13 |
End Time | | 2002/11/03 15:56 |
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 | | 23.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.10 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit362-09-20021103_111300_20021103_155800-constBx0 |
Minimum Dst Value | | -57 |
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. |