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 GOES-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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