Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Qinghe_Zhang_062918_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 07, 2017 |
Start Time | | 2017/09/07 15:40 |
End Time | | 2017/09/07 17:00 |
Key Words | | zqh |
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 | | 16.47 |
Dipole Tilt, in Y-Z GSE plane, deg | | -25.68 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 130.40000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Qinghe_Zhang_062918_1 |
Minimum Dst Value | | -11 |
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 THEMIS-A for time period of this run.
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)
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