Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Lisa_Rosenqvist_022807_2a | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | November 19 2003 |
Start Time | | 2003/11/19 02:00 |
End Time | | 2003/11/19 03:00 |
Key Words | | generator |
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 | | -28.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.90 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 151.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Lisa_Rosenqvist_022807_2a |
Minimum Dst Value | | -18 |
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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