Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit341-06-20020913_213200_20020914_021600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/09/13 |
Start Time | | 2002/09/13 21:32 |
End Time | | 2002/09/14 02:14 |
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 | | -0.94 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 208.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit341-06-20020913_213200_20020914_021600-constBx0 |
Minimum Dst Value | | -42 |
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. |