Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit378-02-20021210_031800_20021210_080300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/10 |
Start Time | | 2002/12/10 03:18 |
End Time | | 2002/12/10 08:01 |
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 | | 32.63 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.22 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 156.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit378-02-20021210_031800_20021210_080300-constBx0 |
Minimum Dst Value | | -20 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for Geotail for time period of this run.
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |