Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit275-06-20020409_203100_20020410_011600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/09 |
Start Time | | 2002/04/09 20:31 |
End Time | | 2002/04/10 01:14 |
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 | | -8.92 |
Dipole Tilt, in Y-Z GSE plane, deg | | -32.63 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 205.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit275-06-20020409_203100_20020410_011600-constBx0 |
Minimum Dst Value | | 16 |
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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