Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit348-12-20021001_175800_20021001_224200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/01 |
Start Time | | 2002/10/01 17:58 |
End Time | | 2002/10/01 22:40 |
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 | | -2.26 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.47 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 140.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit348-12-20021001_175800_20021001_224200-constBx0 |
Minimum Dst Value | | -162 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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