Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: SUN_LEE_042416_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 28, 2015 |
Start Time | | 2015/12/28 08:00 |
End Time | | 2015/12/28 11:00 |
Key Words | | reconnection |
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 | | -29.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.39 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 108.40000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | SUN_LEE_042416_1 |
Minimum Dst Value | | -8 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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