Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit386-09-20021230_132700_20021230_181200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/30 |
Start Time | | 2002/12/30 13:27 |
End Time | | 2002/12/30 18:10 |
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 | | 13.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.80 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 110.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit386-09-20021230_132700_20021230_181200-constBx0 |
Minimum Dst Value | | -31 |
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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