Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: sinan_GUYER_030915_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 16, 2013 |
Start Time | | 2013/08/16 02:00 |
End Time | | 2013/08/16 04:00 |
Key Words | | alfven |
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 | | 6.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.42 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 123.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | sinan_GUYER_030915_3 |
Minimum Dst Value | | 8 |
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.
![](data: 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)
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