Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit319-10-20020724_080900_20020724_125400-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 08:09 |
End Time | | 2002/07/24 12:52 |
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 | | -19.99 |
Dipole Tilt, in Y-Z GSE plane, deg | | 23.58 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 215.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit319-10-20020724_080900_20020724_125400-constBx0 |
Minimum Dst Value | | -12 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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