Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit318-05-20020720_231300_20020721_035800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/20 |
Start Time | | 2002/07/20 23:13 |
End Time | | 2002/07/21 03:56 |
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 | | -14.06 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.10 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit318-05-20020720_231300_20020721_035800-constBx0 |
Minimum Dst Value | | -34 |
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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