Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit383-07-20021223_003600_20021223_052100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/23 |
Start Time | | 2002/12/23 00:36 |
End Time | | 2002/12/23 05:19 |
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 | | 32.09 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.19 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 153.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit383-07-20021223_003600_20021223_052100-constBx0 |
Minimum Dst Value | | -25 |
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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