Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit353-12-20021013_153400_20021013_201300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/13 |
Start Time | | 2002/10/13 15:34 |
End Time | | 2002/10/13 20:11 |
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 | | -1.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.38 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit353-12-20021013_153400_20021013_201300-constBx0 |
Minimum Dst Value | | -29 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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