Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit314-07-20020711_202200_20020712_010700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/11 |
Start Time | | 2002/07/11 20:22 |
End Time | | 2002/07/12 01:05 |
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 | | -22.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 141.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit314-07-20020711_202200_20020712_010700-constBx0 |
Minimum Dst Value | | -6 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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