Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit329-12-20020817_123900_20020817_172300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/17 |
Start Time | | 2002/08/17 12:39 |
End Time | | 2002/08/17 17:21 |
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 | | -23.94 |
Dipole Tilt, in Y-Z GSE plane, deg | | 25.73 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 232.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit329-12-20020817_123900_20020817_172300-constBx0 |
Minimum Dst Value | | -30 |
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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