Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit278-01-20020415_235700_20020416_044100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/15 |
Start Time | | 2002/04/15 23:57 |
End Time | | 2002/04/16 04:39 |
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 | | -2.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | -28.31 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 204.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit278-01-20020415_235700_20020416_044100-constBx0 |
Minimum Dst Value | | -17 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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