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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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