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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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