Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit281-08-20020424_123400_20020424_171900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/24 |
Start Time | | 2002/04/24 12:34 |
End Time | | 2002/04/24 17:17 |
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 | | -22.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.52 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit281-08-20020424_123400_20020424_171900-constBx0 |
Minimum Dst Value | | -29 |
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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