Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit281-02-20020423_075800_20020423_124300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/23 |
Start Time | | 2002/04/23 07:58 |
End Time | | 2002/04/23 12:41 |
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 | | -11.28 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.47 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 177.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit281-02-20020423_075800_20020423_124300-constBx0 |
Minimum Dst Value | | -56 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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