Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-01-20020801_014400_20020801_062800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/01 |
Start Time | | 2002/08/01 01:44 |
End Time | | 2002/08/01 06:26 |
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 | | -8.72 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.97 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-01-20020801_014400_20020801_062800-constBx0 |
Minimum Dst Value | | -14 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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