Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Chunming_Zhang_092722_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 22, 2014 |
Start Time | | 2014/04/22 03:30 |
End Time | | 2014/04/22 04:58 |
Key Words | | 1 |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 3.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | 23.47 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 146.30000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Chunming_Zhang_092722_2 |
Minimum Dst Value | | -20 |
SW Source | | OMNI |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for Cluster-1 for time period of this run.
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)
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