Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit310-04-20020701_170500_20020701_215300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/01 |
Start Time | | 2002/07/01 17:05 |
End Time | | 2002/07/01 21:51 |
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 | | -30.91 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.46 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 152.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit310-04-20020701_170500_20020701_215300-constBx0 |
Minimum Dst Value | | -11 |
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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