Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: CHIH-PING_WANG_071515_2 | |
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 10:00 |
Key Words | | prolonged N IMF |
Model | | OpenGGCM |
Model Version | | 4.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
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_2 |
Minimum Dst Value | | -2 |
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.
Satellite data B plot for Cluster-2 for time period of this run.
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)
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