Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit272-01-20020401_172700_20020401_221100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/01 |
Start Time | | 2002/04/01 17:27 |
End Time | | 2002/04/01 22:09 |
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 | | -13.48 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit272-01-20020401_172700_20020401_221100-constBx0 |
Minimum Dst Value | | -21 |
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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