Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit333-07-20020826_012800_20020826_061300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/26 |
Start Time | | 2002/08/26 01:28 |
End Time | | 2002/08/26 06:11 |
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 | | -1.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.69 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 172.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit333-07-20020826_012800_20020826_061300-constBx0 |
Minimum Dst Value | | -13 |
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-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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