Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit312-06-20020706_212100_20020707_020500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/06 |
Start Time | | 2002/07/06 21:21 |
End Time | | 2002/07/07 02:03 |
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 | | -20.37 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.57 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit312-06-20020706_212100_20020707_020500-constBx0 |
Minimum Dst Value | | -37 |
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-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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