Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit321-05-20020728_023300_20020728_071800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/28 |
Start Time | | 2002/07/28 02:33 |
End Time | | 2002/07/28 07:16 |
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 | | -9.43 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.36 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 246.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit321-05-20020728_023300_20020728_071800-constBx0 |
Minimum Dst Value | | -18 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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