Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit347-06-20020928_041300_20020928_085700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/09/28 |
Start Time | | 2002/09/28 04:13 |
End Time | | 2002/09/28 08:55 |
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 | | 11.94 |
Dipole Tilt, in Y-Z GSE plane, deg | | 29.35 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 149.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit347-06-20020928_041300_20020928_085700-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-8 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. |