Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit258-04-20020228_002800_20020228_051300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/28 |
Start Time | | 2002/02/28 00:28 |
End Time | | 2002/02/28 05:11 |
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 | | 18.32 |
Dipole Tilt, in Y-Z GSE plane, deg | | -28.68 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 200.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit258-04-20020228_002800_20020228_051300-constBx0 |
Minimum Dst Value | | -5 |
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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