Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit399-01-20030128_213700_20030129_022200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/28 |
Start Time | | 2003/01/28 21:37 |
End Time | | 2003/01/29 02:20 |
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 | | 22.39 |
Dipole Tilt, in Y-Z GSE plane, deg | | -25.84 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 121.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit399-01-20030128_213700_20030129_022200-constBx0 |
Minimum Dst Value | | -11 |
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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