Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit279-03-20020418_183100_20020418_231500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/18 |
Start Time | | 2002/04/18 18:31 |
End Time | | 2002/04/18 23:13 |
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 | | -17.99 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.35 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 189.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit279-03-20020418_183100_20020418_231500-constBx0 |
Minimum Dst Value | | -116 |
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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