Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: xiangyun_zhang_040811_4 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 4 2007 |
Start Time | | 2007/04/04 10:30 |
End Time | | 2007/04/04 15:30 |
Key Words | | flux ropes |
Model | | BATSRUS |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 4.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.70 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 71.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | xiangyun_zhang_040811_4 |
Minimum Dst Value | | -25 |
SW Source | | DSCOVR-realtime |
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 THEMIS-B for time period of this run.
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)
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