Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit374-02-20021130_145900_20021130_194400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/11/30 |
Start Time | | 2002/11/30 14:59 |
End Time | | 2002/11/30 19:42 |
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 | | 12.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 142.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit374-02-20021130_145900_20021130_194400-constBx0 |
Minimum Dst Value | | -39 |
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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