Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: William_Longley_112213_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 17, 2001 |
Start Time | | 2001/08/17 16:15 |
End Time | | 2001/08/17 19:15 |
Key Words | | Aug17,2001 |
Model | | OpenGGCM |
Model Version | | 4.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 25.02 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.25 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | -33 |
F10.7 | | 148.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | William_Longley_112213_3 |
Minimum Dst Value | | -31 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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