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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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