Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit301-06-20020610_161900_20020610_210300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/06/10 |
Start Time | | 2002/06/10 16:19 |
End Time | | 2002/06/10 21:01 |
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 | | -31.95 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.23 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 156.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit301-06-20020610_161900_20020610_210300-constBx0 |
Minimum Dst Value | | -38 |
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-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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