Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit385-12-20021228_183900_20021228_231900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/28 |
Start Time | | 2002/12/28 18:39 |
End Time | | 2002/12/28 23:17 |
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 | | 18.85 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.78 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 113.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit385-12-20021228_183900_20021228_231900-constBx0 |
Minimum Dst Value | | -33 |
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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