Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Katariina_Nykyri_052517_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | February 25, 2016 |
Start Time | | 2016/02/25 18:30 |
End Time | | 2016/02/25 20:30 |
Key Words | | plasma entry |
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 | | -0.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | 25.20 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 0.00000 |
Conductance Model | | constant |
Corotation | | real |
Run Number | | Katariina_Nykyri_052517_1 |
Minimum Dst Value | | -7 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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