Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit356-10-20021020_092100_20021020_140600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/20 |
Start Time | | 2002/10/20 09:21 |
End Time | | 2002/10/20 14:04 |
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 | | 8.58 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.15 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit356-10-20021020_092100_20021020_140600-constBx0 |
Minimum Dst Value | | -24 |
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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