Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-05-20021002_174600_20021002_223100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/02 |
Start Time | | 2002/10/02 17:46 |
End Time | | 2002/10/02 22:29 |
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 | | -2.28 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.69 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 136.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-05-20021002_174600_20021002_223100-constBx0 |
Minimum Dst Value | | -99 |
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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