Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit352-12-20021011_061900_20021011_110300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/11 |
Start Time | | 2002/10/11 06:19 |
End Time | | 2002/10/11 11:01 |
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 | | 13.47 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit352-12-20021011_061900_20021011_110300-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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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