Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit321-05-20020728_023300_20020728_071800-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 02:33 |
End Time | | 2002/07/28 07:16 |
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 | | -9.43 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.36 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 246.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit321-05-20020728_023300_20020728_071800-constBx0 |
Minimum Dst Value | | -18 |
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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)
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