Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit381-01-20021217_015100_20021217_063500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/17 |
Start Time | | 2002/12/17 01:51 |
End Time | | 2002/12/17 06:33 |
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 | | 32.89 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 205.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit381-01-20021217_015100_20021217_063500-constBx0 |
Minimum Dst Value | | -10 |
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 Geotail 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. |