Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit314-01-20020710_154600_20020710_203100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/10 |
Start Time | | 2002/07/10 15:46 |
End Time | | 2002/07/10 20:29 |
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 | | -31.31 |
Dipole Tilt, in Y-Z GSE plane, deg | | 2.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit314-01-20020710_154600_20020710_203100-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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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