Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Afroditi_Nasi_061218_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 03, 2010 |
Start Time | | 2010/04/03 00:00 |
End Time | | 2010/04/06 00:00 |
Key Words | | flare CME charging |
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 | | 2.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.43 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 77.40000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Afroditi_Nasi_061218_1 |
Minimum Dst Value | | -50 |
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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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