Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit284-05-20020501_012300_20020501_060700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/01 |
Start Time | | 2002/05/01 01:23 |
End Time | | 2002/05/01 06:05 |
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 | | -6.07 |
Dipole Tilt, in Y-Z GSE plane, deg | | -22.68 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 164.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit284-05-20020501_012300_20020501_060700-constBx0 |
Minimum Dst Value | | -5 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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