Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit392-10-20030114_004900_20030114_053400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/14 |
Start Time | | 2003/01/14 00:49 |
End Time | | 2003/01/14 05:32 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 30.96 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.27 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 158.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit392-10-20030114_004900_20030114_053400-constBx0 |
Minimum Dst Value | | -13 |
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 Polar for time period of this run.
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)
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