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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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