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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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