Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit310-04-20020701_170500_20020701_215300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/01 |
Start Time | | 2002/07/01 17:05 |
End Time | | 2002/07/01 21:51 |
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 | | -30.91 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.46 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit310-04-20020701_170500_20020701_215300-constBx0 |
Minimum Dst Value | | -11 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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