Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit354-11-20021015_195300_20021016_003800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/15 |
Start Time | | 2002/10/15 19:53 |
End Time | | 2002/10/16 00:36 |
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 | | 7.85 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.44 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit354-11-20021015_195300_20021016_003800-constBx0 |
Minimum Dst Value | | -67 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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