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: |
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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 |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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