Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit283-04-20020428_113500_20020428_161900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/28 |
Start Time | | 2002/04/28 11:35 |
End Time | | 2002/04/28 16:17 |
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 | | -21.57 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 149.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit283-04-20020428_113500_20020428_161900-constBx0 |
Minimum Dst Value | | -31 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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