Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit335-07-20020830_194000_20020831_002500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/30 |
Start Time | | 2002/08/30 19:40 |
End Time | | 2002/08/31 00:23 |
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 | | -10.99 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.49 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 173.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit335-07-20020830_194000_20020831_002500-constBx0 |
Minimum Dst Value | | -17 |
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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