Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit399-10-20030130_163100_20030130_211600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/30 |
Start Time | | 2003/01/30 16:31 |
End Time | | 2003/01/30 21:14 |
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 | | 9.63 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.55 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 117.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit399-10-20030130_163100_20030130_211600-constBx0 |
Minimum Dst Value | | -42 |
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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