Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-07-20020629_214500_20020630_023300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/29 |
Start Time | | 2002/06/29 21:45 |
End Time | | 2002/06/30 02:31 |
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 | | -20.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.12 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-07-20020629_214500_20020630_023300-constBx0 |
Minimum Dst Value | | 8 |
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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