Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit390-02-20030107_162800_20030107_211300-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 16:28 |
End Time | | 2003/01/07 21:11 |
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 | | 14.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 157.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit390-02-20030107_162800_20030107_211300-constBx0 |
Minimum Dst Value | | -13 |
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-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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