Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-11-20020803_011400_20020803_055800-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 01:14 |
End Time | | 2002/08/03 05:56 |
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 | | -8.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.75 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 172.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-11-20020803_011400_20020803_055800-constBx0 |
Minimum Dst Value | | -57 |
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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