Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit284-03-20020430_155300_20020430_203700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/30 |
Start Time | | 2002/04/30 15:53 |
End Time | | 2002/04/30 20:35 |
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 | | -25.78 |
Dipole Tilt, in Y-Z GSE plane, deg | | -23.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit284-03-20020430_155300_20020430_203700-constBx0 |
Minimum Dst Value | | -3 |
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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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