Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit317-04-20020718_092200_20020718_140700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/18 |
Start Time | | 2002/07/18 09:22 |
End Time | | 2002/07/18 14:05 |
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 | | -24.38 |
Dipole Tilt, in Y-Z GSE plane, deg | | 21.63 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit317-04-20020718_092200_20020718_140700-constBx0 |
Minimum Dst Value | | -17 |
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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