Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Kyle_Murphy_053018_5 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 28, 2016 |
Start Time | | 2016/08/28 00:00 |
End Time | | 2016/09/02 00:00 |
Key Words | | Storm 2 CIR |
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 | | 6.89 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.23 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 87.10000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Kyle_Murphy_053018_5 |
Minimum Dst Value | | -54 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for Cluster-2 for time period of this run.
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)
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