Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit288-09-20020511_084500_20020511_132900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/11 |
Start Time | | 2002/05/11 08:45 |
End Time | | 2002/05/11 13:27 |
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 | | -18.59 |
Dipole Tilt, in Y-Z GSE plane, deg | | -4.50 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 191.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit288-09-20020511_084500_20020511_132900-constBx0 |
Minimum Dst Value | | -12 |
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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