Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit395-07-20030120_134800_20030120_183300-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 13:48 |
End Time | | 2003/01/20 18:31 |
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 | | 10.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.08 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit395-07-20030120_134800_20030120_183300-constBx0 |
Minimum Dst Value | | -18 |
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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