Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit350-08-20021005_170900_20021005_215400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/05 |
Start Time | | 2002/10/05 17:09 |
End Time | | 2002/10/05 21:52 |
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 | | -2.23 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.37 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit350-08-20021005_170900_20021005_215400-constBx0 |
Minimum Dst Value | | -94 |
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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