Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit348-08-20020930_225400_20021001_033900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/30 |
Start Time | | 2002/09/30 22:54 |
End Time | | 2002/10/01 03:37 |
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 | | 9.52 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.88 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 140.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit348-08-20020930_225400_20021001_033900-constBx0 |
Minimum Dst Value | | -35 |
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-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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