Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit304-01-20020616_194900_20020617_003000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/16 |
Start Time | | 2002/06/16 19:49 |
End Time | | 2002/06/17 00:28 |
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 | | -25.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.16 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit304-01-20020616_194900_20020617_003000-constBx0 |
Minimum Dst Value | | 2 |
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-9 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. |