Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-01-20020628_165100_20020628_213900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/28 |
Start Time | | 2002/06/28 16:51 |
End Time | | 2002/06/28 21:37 |
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 | | -31.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-01-20020628_165100_20020628_213900-constBx0 |
Minimum Dst Value | | 15 |
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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