Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit384-02-20021224_095200_20021224_143700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/24 |
Start Time | | 2002/12/24 09:52 |
End Time | | 2002/12/24 14:35 |
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 | | 19.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | 9.21 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 142.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit384-02-20021224_095200_20021224_143700-constBx0 |
Minimum Dst Value | | -37 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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