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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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