Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit338-03-20020906_035700_20020906_084200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/09/06 |
Start Time | | 2002/09/06 03:57 |
End Time | | 2002/09/06 08:40 |
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 | | 2.78 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.80 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit338-03-20020906_035700_20020906_084200-constBx0 |
Minimum Dst Value | | -33 |
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.
Model values plot for GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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