Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yaireska_Collado-Vega_053014_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 07, 2007 |
Start Time | | 2007/03/07 00:00 |
End Time | | 2007/03/07 18:00 |
Key Words | | Magnetopause Crossing |
Model | | SWMF |
Model Version | | v20130129 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -9.57 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.70 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | |
Conductance Model | | constant |
Corotation | | real |
Run Number | | Yaireska_Collado-Vega_053014_1 |
Minimum Dst Value | | -29 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Wind for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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