Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit310-09-20020702_171000_20020702_215800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/02 |
Start Time | | 2002/07/02 17:10 |
End Time | | 2002/07/02 21:56 |
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 | | -30.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.23 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 153.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit310-09-20020702_171000_20020702_215800-constBx0 |
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.
Model values plot for GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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