Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Swadesh_Patra_041417_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | January 21, 2015 |
Start Time | | 2015/01/21 10:00 |
End Time | | 2015/01/22 08:00 |
Key Words | | Northward IMF |
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 | | -22.23 |
Dipole Tilt, in Y-Z GSE plane, deg | | 2.51 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 120.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Swadesh_Patra_041417_2 |
Minimum Dst Value | | -104 |
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 THEMIS-C for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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