Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Brent_Gills_070810_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 10 2000 |
Start Time | | 2000/04/10 09:00 |
End Time | | 2000/04/10 13:59 |
Key Words | | research |
Model | | BATSRUS |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 3.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.10 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 179.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Brent_Gills_070810_2 |
Minimum Dst Value | | -59 |
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 GOES-10 for time period of this run.
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)
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