Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit321-09-20020728_213700_20020729_022200-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 21:37 |
End Time | | 2002/07/29 02:20 |
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 | | -15.97 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 246.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit321-09-20020728_213700_20020729_022200-constBx0 |
Minimum Dst Value | | -3 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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