Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Shreeya_Khurana_072717_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 19, 2014 |
Start Time | | 2014/02/19 23:45 |
End Time | | 2014/02/20 11:45 |
Key Words | | Magnetopause Crossing |
Model | | GUMICS |
Model Version | | 4-HC-20140326 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -14.56 |
Dipole Tilt, in Y-Z GSE plane, deg | | 30.63 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 154.20000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Shreeya_Khurana_072717_3 |
Minimum Dst Value | | -80 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for Cluster-4 for time period of this run.
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |