Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit282-10-20020427_070300_20020427_114700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/27 |
Start Time | | 2002/04/27 07:03 |
End Time | | 2002/04/27 11:45 |
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 | | -10.35 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.18 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 159.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit282-10-20020427_070300_20020427_114700-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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