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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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