Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit277-07-20020414_192300_20020415_000700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/14 |
Start Time | | 2002/04/14 19:23 |
End Time | | 2002/04/15 00:05 |
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 | | -14.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.73 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 211.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit277-07-20020414_192300_20020415_000700-constBx0 |
Minimum Dst Value | | -14 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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