Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit305-01-20020619_041700_20020619_085800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/19 |
Start Time | | 2002/06/19 04:17 |
End Time | | 2002/06/19 08:56 |
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 | | -14.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 150.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit305-01-20020619_041700_20020619_085800-constBx0 |
Minimum Dst Value | | -2 |
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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