Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-09-20020611_063400_20020611_111800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/11 |
Start Time | | 2002/06/11 06:34 |
End Time | | 2002/06/11 11:16 |
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 | | -18.36 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.63 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-09-20020611_063400_20020611_111800-constBx0 |
Minimum Dst Value | | -23 |
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. |