Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit290-11-20020516_121900_20020516_170300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/05/16 |
Start Time | | 2002/05/16 12:19 |
End Time | | 2002/05/16 17:01 |
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 | | -27.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | -6.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 162.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit290-11-20020516_121900_20020516_170300-constBx0 |
Minimum Dst Value | | -28 |
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. |