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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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