Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit392-07-20030113_103100_20030113_151600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/13 |
Start Time | | 2003/01/13 10:31 |
End Time | | 2003/01/13 15:14 |
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 | | 16.63 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.07 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit392-07-20030113_103100_20030113_151600-constBx0 |
Minimum Dst Value | | -8 |
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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