Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit374-04-20021201_003100_20021201_051600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/01 |
Start Time | | 2002/12/01 00:31 |
End Time | | 2002/12/01 05:14 |
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 | | 30.38 |
Dipole Tilt, in Y-Z GSE plane, deg | | 2.54 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 145.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit374-04-20021201_003100_20021201_051600-constBx0 |
Minimum Dst Value | | -30 |
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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)
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