Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit282-04-20020426_023300_20020426_071700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/04/26 |
Start Time | | 2002/04/26 02:33 |
End Time | | 2002/04/26 07:15 |
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 | | -4.03 |
Dipole Tilt, in Y-Z GSE plane, deg | | -23.03 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 164.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit282-04-20020426_023300_20020426_071700-constBx0 |
Minimum Dst Value | | -21 |
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-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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