Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Changbo_Zhu_061515_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | June 14, 2007 |
Start Time | | 2007/06/14 04:30 |
End Time | | 2007/06/14 05:00 |
Key Words | | Magnetosheath flow |
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 | | 13.18 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.94 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 71.00000 |
Conductance Model | | CTIM |
Corotation | | real |
Run Number | | Changbo_Zhu_061515_2 |
Minimum Dst Value | | -1 |
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 Geotail for time period of this run.
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