Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Tim_Kodikara_051917_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 20, 2014 |
Start Time | | 2014/08/20 00:00 |
End Time | | 2014/08/28 00:00 |
Key Words | | Ionospohere, thermosphere, magnetosphere coupling |
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 | | 9.78 |
Dipole Tilt, in Y-Z GSE plane, deg | | -10.52 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 121.10000 |
Conductance Model | | CTIM |
Corotation | | real |
Run Number | | Tim_Kodikara_051917_1 |
Minimum Dst Value | | -76 |
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 THEMIS-C for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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