Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Mia_Lagergaard_031405_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | August 21 2001 |
Start Time | | 2001/08/21 10:00 |
End Time | | 2001/08/21 14:00 |
Key Words | | NBZ current study |
Model | | OpenGGCM |
Model Version | | 2.1-1 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 11.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.30 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Mia_Lagergaard_031405_1 |
Minimum Dst Value | | -4 |
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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