Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit280-06-20020421_175500_20020421_224000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/21 |
Start Time | | 2002/04/21 17:55 |
End Time | | 2002/04/21 22:38 |
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 | | -20.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | -29.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit280-06-20020421_175500_20020421_224000-constBx0 |
Minimum Dst Value | | -41 |
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 Geotail 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. |