Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit279-11-20020420_083100_20020420_131500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/20 |
Start Time | | 2002/04/20 08:31 |
End Time | | 2002/04/20 13:13 |
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 | | -11.72 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 179.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit279-11-20020420_083100_20020420_131500-constBx0 |
Minimum Dst Value | | -149 |
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 Polar 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. |