Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit325-05-20020806_145700_20020806_194200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/06 |
Start Time | | 2002/08/06 14:57 |
End Time | | 2002/08/06 19:40 |
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 | | -26.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.66 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 148.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit325-05-20020806_145700_20020806_194200-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 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. |