Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit283-10-20020429_160500_20020429_204900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/29 |
Start Time | | 2002/04/29 16:05 |
End Time | | 2002/04/29 20:47 |
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 | | -25.28 |
Dipole Tilt, in Y-Z GSE plane, deg | | -24.59 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit283-10-20020429_160500_20020429_204900-constBx0 |
Minimum Dst Value | | -28 |
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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