Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit389-11-20030107_021400_20030107_065900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/07 |
Start Time | | 2003/01/07 02:14 |
End Time | | 2003/01/07 06:57 |
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 | | 32.53 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.32 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 157.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit389-11-20030107_021400_20030107_065900-constBx0 |
Minimum Dst Value | | -12 |
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 GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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