Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit391-06-20030110_204000_20030111_012500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/10 |
Start Time | | 2003/01/10 20:40 |
End Time | | 2003/01/11 01:23 |
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 | | 23.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -19.69 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit391-06-20030110_204000_20030111_012500-constBx0 |
Minimum Dst Value | | -31 |
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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