Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit332-11-20020824_112300_20020824_160800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/08/24 |
Start Time | | 2002/08/24 11:23 |
End Time | | 2002/08/24 16:06 |
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 | | -19.88 |
Dipole Tilt, in Y-Z GSE plane, deg | | 29.14 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 199.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit332-11-20020824_112300_20020824_160800-constBx0 |
Minimum Dst Value | | -20 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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