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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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