Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit334-09-20020828_200000_20020829_004400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/28 |
Start Time | | 2002/08/28 20:00 |
End Time | | 2002/08/29 00:42 |
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 | | -10.86 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.07 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit334-09-20020828_200000_20020829_004400-constBx0 |
Minimum Dst Value | | -26 |
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. |