Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Suji_KJ_102417_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | March 20, 2015 |
Start Time | | 2015/03/20 18:00 |
End Time | | 2015/03/20 20:51 |
Key Words | | Substorm onset |
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 | | 10.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 26.04 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 111.80000 |
Conductance Model | | CTIM |
Corotation | | real |
Run Number | | Suji_KJ_102417_1 |
Minimum Dst Value | | -58 |
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.
Model values plot for GOES-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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