Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit321-09-20020728_213700_20020729_022200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/28 |
Start Time | | 2002/07/28 21:37 |
End Time | | 2002/07/29 02:20 |
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 | | -15.97 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 246.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit321-09-20020728_213700_20020729_022200-constBx0 |
Minimum Dst Value | | -3 |
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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