Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit276-09-20020412_195000_20020413_003400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/12 |
Start Time | | 2002/04/12 19:50 |
End Time | | 2002/04/13 00:32 |
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 | | -12.04 |
Dipole Tilt, in Y-Z GSE plane, deg | | -32.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 213.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit276-09-20020412_195000_20020413_003400-constBx0 |
Minimum Dst Value | | -2 |
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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