Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit281-12-20020425_073800_20020425_121800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/25 |
Start Time | | 2002/04/25 07:38 |
End Time | | 2002/04/25 12:16 |
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 | | -11.04 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.21 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 169.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit281-12-20020425_073800_20020425_121800-constBx0 |
Minimum Dst Value | | -23 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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