Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit316-05-20020716_050000_20020716_094400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/16 |
Start Time | | 2002/07/16 05:00 |
End Time | | 2002/07/16 09:42 |
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 | | -14.08 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 177.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit316-05-20020716_050000_20020716_094400-constBx0 |
Minimum Dst Value | | 22 |
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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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