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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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