Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit313-08-20020709_160000_20020709_204500-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 16:00 |
End Time | | 2002/07/09 20:43 |
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 | | -31.22 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.44 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 140.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit313-08-20020709_160000_20020709_204500-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 Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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