Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit313-07-20020709_111400_20020709_155900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/09 |
Start Time | | 2002/07/09 11:14 |
End Time | | 2002/07/09 15:57 |
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 | | -29.47 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.56 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 140.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit313-07-20020709_111400_20020709_155900-constBx0 |
Minimum Dst Value | | -4 |
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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