Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit315-10-20020714_194700_20020715_003200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/14 |
Start Time | | 2002/07/14 19:47 |
End Time | | 2002/07/15 00:30 |
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 | | -23.28 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.72 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 148.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit315-10-20020714_194700_20020715_003200-constBx0 |
Minimum Dst Value | | 1 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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