Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Elena_Ivannikova_062617_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 00:00 |
End Time | | 2013/03/17 00:00 |
Key Words | | magnetosphere, inner magnetosphere, ionosphere |
Model | | SWMF |
Model Version | | v20140611 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -5.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.84 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 124.80000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Elena_Ivannikova_062617_1 |
Minimum Dst Value | | -28 |
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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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