Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit319-09-20020724_032300_20020724_080800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/24 |
Start Time | | 2002/07/24 03:23 |
End Time | | 2002/07/24 08:06 |
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 | | -10.82 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 215.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit319-09-20020724_032300_20020724_080800-constBx0 |
Minimum Dst Value | | -8 |
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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