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 Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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