Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Rupesh_Das_082317_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | March 16, 2013 |
Start Time | | 2013/03/16 00:20 |
End Time | | 2013/03/16 02:20 |
Key Words | | Sub-auroral ionosphere |
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 | | -6.08 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.59 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 124.80000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Rupesh_Das_082317_1 |
Minimum Dst Value | | -20 |
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 GOES-11 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. |