Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Jorg-Micha_Jahn_101711_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | April 20 2010 |
Start Time | | 2010/04/20 00:00 |
End Time | | 2010/04/22 23:00 |
Key Words | | boundaries, tilt |
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 | | 8.90 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.20 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 76.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Jorg-Micha_Jahn_101711_1 |
Minimum Dst Value | | -11 |
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-12 for time period of this run.
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)
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