Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit355-10-20021018_001300_20021018_045800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/18 |
Start Time | | 2002/10/18 00:13 |
End Time | | 2002/10/18 04:56 |
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 | | 18.56 |
Dipole Tilt, in Y-Z GSE plane, deg | | 15.35 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit355-10-20021018_001300_20021018_045800-constBx0 |
Minimum Dst Value | | -40 |
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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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