Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit395-09-20030120_232000_20030121_040500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/20 |
Start Time | | 2003/01/20 23:20 |
End Time | | 2003/01/21 04:03 |
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 | | 27.82 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.50 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit395-09-20030120_232000_20030121_040500-constBx0 |
Minimum Dst Value | | -16 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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