Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: SWPC_CMIT-LFM-MIX-TIEGCM_031711_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | December 14 2006 |
Start Time | | 2006/12/14 12:00 |
End Time | | 2006/12/16 00:00 |
Key Words | | dB/dt Challenge test runs 2011 |
Model | | LFM |
Model Version | | LTR-2_1_1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 0.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 99.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | SWPC_CMIT-LFM-MIX-TIEGCM_031711_2 |
Minimum Dst Value | | -162 |
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 Wind for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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