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 IMP-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. |