Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit384-04-20021224_192400_20021225_000900-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 19:24 |
End Time | | 2002/12/25 00:07 |
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 | | 20.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 142.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit384-04-20021224_192400_20021225_000900-constBx0 |
Minimum Dst Value | | -43 |
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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