Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-02-20020521_204700_20020522_013100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/21 |
Start Time | | 2002/05/21 20:47 |
End Time | | 2002/05/22 01:29 |
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 | | -20.43 |
Dipole Tilt, in Y-Z GSE plane, deg | | -22.88 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-02-20020521_204700_20020522_013100-constBx0 |
Minimum Dst Value | | -2 |
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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