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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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