Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Cynthia_Cattell_032316_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 14, 2015 |
Start Time | | 2015/12/14 11:00 |
End Time | | 2015/12/14 23:00 |
Key Words | | dayside response |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -22.84 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.80 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 120.20000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Cynthia_Cattell_032316_1 |
Minimum Dst Value | | -85 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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