Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Shreeya_Khurana_011618_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 11, 2016 |
Start Time | | 2016/03/11 07:00 |
End Time | | 2016/03/11 19:00 |
Key Words | | Magnetopause Crossing |
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 | | -12.46 |
Dipole Tilt, in Y-Z GSE plane, deg | | 18.32 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 93.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Shreeya_Khurana_011618_2 |
Minimum Dst Value | | -18 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
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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)
| VMR Tools created by Darren De Zeeuw. |