Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit256-07-20020223_203400_20020224_011900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/23 |
Start Time | | 2002/02/23 20:34 |
End Time | | 2002/02/24 01:17 |
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 | | 11.07 |
Dipole Tilt, in Y-Z GSE plane, deg | | -31.99 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit256-07-20020223_203400_20020224_011900-constBx0 |
Minimum Dst Value | | -1 |
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-9 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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