Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Masha_Kuznetsova_101903_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | September 14 2001 |
Start Time | | 2001/09/14 21:30 |
End Time | | 2001/09/15 01:00 |
Key Words | | Thin current sheet |
Model | | BATSRUS |
Model Version | | v7.42 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 6.50 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.60 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Masha_Kuznetsova_101903_2 |
Minimum Dst Value | | -7 |
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.
Model values plot for GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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