Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit358-02-20021023_132600_20021023_181000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/23 |
Start Time | | 2002/10/23 13:26 |
End Time | | 2002/10/23 18:08 |
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 | | 2.02 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.65 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 161.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit358-02-20021023_132600_20021023_181000-constBx0 |
Minimum Dst Value | | -16 |
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-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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