Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit321-11-20020729_070900_20020729_115400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/29 |
Start Time | | 2002/07/29 07:09 |
End Time | | 2002/07/29 11:52 |
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 | | -16.38 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 241.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit321-11-20020729_070900_20020729_115400-constBx0 |
Minimum Dst Value | | -14 |
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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