Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit253-01-20020215_124400_20020215_172900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/15 |
Start Time | | 2002/02/15 12:44 |
End Time | | 2002/02/15 17:27 |
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 | | 4.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.92 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit253-01-20020215_124400_20020215_172900-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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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