Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit313-05-20020709_014200_20020709_062700-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 01:42 |
End Time | | 2002/07/09 06:25 |
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 | | -12.87 |
Dipole Tilt, in Y-Z GSE plane, deg | | 2.88 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 140.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit313-05-20020709_014200_20020709_062700-constBx0 |
Minimum Dst Value | | -19 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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