Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Fabien_Darrouzet_051503_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | March 2 2002 |
Start Time | | 2002/03/02 3:00 |
End Time | | 2002/03/02 4:00 |
Key Words | | Cluster |
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 | | -19.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.90 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Fabien_Darrouzet_051503_1 |
Minimum Dst Value | | -19 |
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-8 for time period of this run.
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)
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