Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yusuke_Ebihara_091705_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 6 2003 |
Start Time | | 2003/06/06 16:10 |
End Time | | 2003/06/06 16:50 |
Key Words | | south pole aurora |
Model | | BATSRUS |
Model Version | | v7.73 |
Validation Level | | 2 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 33.70 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.30 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 129.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Yusuke_Ebihara_091705_1 |
Minimum Dst Value | | 0 |
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 GOES-10 for time period of this run.
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)
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