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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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