Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit332-03-20020822_211500_20020823_020000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/22 |
Start Time | | 2002/08/22 21:15 |
End Time | | 2002/08/23 01:58 |
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 | | -9.74 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.19 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 225.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit332-03-20020822_211500_20020823_020000-constBx0 |
Minimum Dst Value | | -25 |
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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)
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