Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit285-01-20020502_152600_20020502_201100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/05/02 |
Start Time | | 2002/05/02 15:26 |
End Time | | 2002/05/02 20:09 |
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 | | -26.58 |
Dipole Tilt, in Y-Z GSE plane, deg | | -22.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit285-01-20020502_152600_20020502_201100-constBx0 |
Minimum Dst Value | | -11 |
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. |