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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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