Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Nykyri_Katariina_080415_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | July 29, 2015 |
Start Time | | 2015/07/29 09:00 |
End Time | | 2015/08/02 09:00 |
Key Words | | MPLD |
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 | | 15.01 |
Dipole Tilt, in Y-Z GSE plane, deg | | -22.94 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 0.00000 |
Conductance Model | | constant |
Corotation | | real |
Run Number | | Nykyri_Katariina_080415_1 |
Minimum Dst Value | | 8 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
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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)
| VMR Tools created by Darren De Zeeuw. |