Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit352-10-20021010_204900_20021011_013300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/10 |
Start Time | | 2002/10/10 20:49 |
End Time | | 2002/10/11 01:31 |
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 | | 8.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.10 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit352-10-20021010_204900_20021011_013300-constBx0 |
Minimum Dst Value | | -48 |
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-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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