Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit359-01-20021025_174400_20021025_222900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/25 |
Start Time | | 2002/10/25 17:44 |
End Time | | 2002/10/25 22:27 |
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 | | 6.45 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.54 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 170.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit359-01-20021025_174400_20021025_222900-constBx0 |
Minimum Dst Value | | -65 |
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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