Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Maimaitirebike_Maimaiti_110315_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 12, 2014 |
Start Time | | 2014/09/12 17:30 |
End Time | | 2014/09/12 20:30 |
Key Words | | Polar Cap Convection |
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 | | 14.49 |
Dipole Tilt, in Y-Z GSE plane, deg | | -21.24 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 154.00000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Maimaitirebike_Maimaiti_110315_1 |
Minimum Dst Value | | 2 |
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.
Satellite data B plot for Cluster-2 for time period of this run.
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)
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