Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit277-01-20020413_145300_20020413_193700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/13 |
Start Time | | 2002/04/13 14:53 |
End Time | | 2002/04/13 19:35 |
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 | | -19.74 |
Dipole Tilt, in Y-Z GSE plane, deg | | -17.94 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 227.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit277-01-20020413_145300_20020413_193700-constBx0 |
Minimum Dst Value | | -48 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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