Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit346-01-20020924_192300_20020925_000800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/24 |
Start Time | | 2002/09/24 19:23 |
End Time | | 2002/09/25 00:06 |
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 | | -1.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 158.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit346-01-20020924_192300_20020925_000800-constBx0 |
Minimum Dst Value | | -15 |
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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