Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit272-01-20020401_172700_20020401_221100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/01 |
Start Time | | 2002/04/01 17:27 |
End Time | | 2002/04/01 22:09 |
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 | | -13.48 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit272-01-20020401_172700_20020401_221100-constBx0 |
Minimum Dst Value | | -21 |
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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