Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit322-02-20020729_212400_20020730_020900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/29 |
Start Time | | 2002/07/29 21:24 |
End Time | | 2002/07/30 02:07 |
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 | | -16.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.94 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 241.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit322-02-20020729_212400_20020730_020900-constBx0 |
Minimum Dst Value | | 7 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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