Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Patrick_Daum_051706_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | January 23 2006 |
Start Time | | 2006/01/23 6:20 |
End Time | | 2006/01/23 6:50 |
Key Words | | EISCAT_FTES |
Model | | BATSRUS with RCM |
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 | | -30.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.80 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 89.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Patrick_Daum_051706_1 |
Minimum Dst Value | | 0 |
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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