Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit277-12-20020415_190800_20020415_235200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/15 |
Start Time | | 2002/04/15 19:08 |
End Time | | 2002/04/15 23:50 |
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 | | -15.25 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 204.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit277-12-20020415_190800_20020415_235200-constBx0 |
Minimum Dst Value | | -23 |
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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