Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit378-02-20021210_031800_20021210_080300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/10 |
Start Time | | 2002/12/10 03:18 |
End Time | | 2002/12/10 08:01 |
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 | | 32.63 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.22 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 156.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit378-02-20021210_031800_20021210_080300-constBx0 |
Minimum Dst Value | | -20 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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