Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit390-10-20030109_063600_20030109_112100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/09 |
Start Time | | 2003/01/09 06:36 |
End Time | | 2003/01/09 11:19 |
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 | | 26.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | 2.29 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 176.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit390-10-20030109_063600_20030109_112100-constBx0 |
Minimum Dst Value | | 6 |
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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