Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit349-05-20021002_174600_20021002_223100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/02 |
Start Time | | 2002/10/02 17:46 |
End Time | | 2002/10/02 22:29 |
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 | | -2.28 |
Dipole Tilt, in Y-Z GSE plane, deg | | 14.69 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 136.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit349-05-20021002_174600_20021002_223100-constBx0 |
Minimum Dst Value | | -99 |
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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