Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit389-07-20030106_071000_20030106_115500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/06 |
Start Time | | 2003/01/06 07:10 |
End Time | | 2003/01/06 11:53 |
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 | | 25.64 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.15 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 156.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit389-07-20030106_071000_20030106_115500-constBx0 |
Minimum Dst Value | | -3 |
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 Wind for time period of this run.
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)
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