Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit381-06-20021218_013600_20021218_062000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/18 |
Start Time | | 2002/12/18 01:36 |
End Time | | 2002/12/18 06:18 |
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 | | 32.84 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.12 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit381-06-20021218_013600_20021218_062000-constBx0 |
Minimum Dst Value | | 15 |
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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