Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yang_Mei_043023_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 17, 2015 |
Start Time | | 2015/03/17 00:00 |
End Time | | 2015/03/17 23:50 |
Key Words | | Storm |
Model | | LFM |
Model Version | | LTR-2_1_5 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -4.84 |
Dipole Tilt, in Y-Z GSE plane, deg | | 32.74 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 113.20000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Yang_Mei_043023_1 |
Minimum Dst Value | | -234 |
SW Source | | OMNI |
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 THEMIS-B for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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