Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Zdenek_Nemecek_030408_1a | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | July 28 1996 |
Start Time | | 1996/07/28 12:00 |
End Time | | 1996/07/28 13:30 |
Key Words | | error run |
Model | | BATSRUS |
Model Version | | v7.73 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 23.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | -25.60 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 77.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Zdenek_Nemecek_030408_1a |
Minimum Dst Value | | 12 |
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 IMP-8 for time period of this run.
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)
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