Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yihua_Zheng_090721_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | October 16, 2015 |
Start Time | | 2015/10/16 11:30 |
End Time | | 2015/10/16 13:30 |
Key Words | | Magnetopause |
Model | | OpenGGCM |
Model Version | | 5.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -7.60 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.22 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 108.40000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Yihua_Zheng_090721_1 |
Minimum Dst Value | | -10 |
SW Source | | ACE-L2 |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for THEMIS-A for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |