Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit324-03-20020803_202000_20020804_010500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/03 |
Start Time | | 2002/08/03 20:20 |
End Time | | 2002/08/04 01:03 |
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 | | -17.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | 5.15 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 172.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit324-03-20020803_202000_20020804_010500-constBx0 |
Minimum Dst Value | | -21 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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