Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit253-08-20020216_220600_20020217_025100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/16 |
Start Time | | 2002/02/16 22:06 |
End Time | | 2002/02/17 02:49 |
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 | | 17.55 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.39 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit253-08-20020216_220600_20020217_025100-constBx0 |
Minimum Dst Value | | -5 |
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. |