Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit373-08-20021129_102800_20021129_151300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/29 |
Start Time | | 2002/11/29 10:28 |
End Time | | 2002/11/29 15:11 |
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 | | 20.53 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.62 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 137.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit373-08-20021129_102800_20021129_151300-constBx0 |
Minimum Dst Value | | -27 |
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-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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