Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-11-20021216_162600_20021216_211100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/16 |
Start Time | | 2002/12/16 16:26 |
End Time | | 2002/12/16 21:09 |
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 | | 15.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.13 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-11-20021216_162600_20021216_211100-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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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