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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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