Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit315-05-20020713_195700_20020714_004200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/13 |
Start Time | | 2002/07/13 19:57 |
End Time | | 2002/07/14 00:40 |
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 | | -22.98 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.16 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 139.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit315-05-20020713_195700_20020714_004200-constBx0 |
Minimum Dst Value | | -8 |
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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