Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit251-05-20020211_133400_20020211_181900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/11 |
Start Time | | 2002/02/11 13:34 |
End Time | | 2002/02/11 18:17 |
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 | | 4.69 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.58 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit251-05-20020211_133400_20020211_181900-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 Cluster-1 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. |