Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: CHIH-PING_WANG_071515_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | February 13, 2014 |
Start Time | | 2014/02/13 04:00 |
End Time | | 2014/02/13 16:00 |
Key Words | | prolonged N IMF |
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 | | -24.37 |
Dipole Tilt, in Y-Z GSE plane, deg | | 22.32 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 163.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | CHIH-PING_WANG_071515_1 |
Minimum Dst Value | | -2 |
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-1 for time period of this run.
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)
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