Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit297-02-20020531_090200_20020531_134700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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Cluster-1 | | | | - | Cluster-2 | | | | - | Cluster-3 | | | | - | Cluster-4 | | | | - | GOES-8 | | | | B plot | GOES-9 | | | | - | GOES-10 | | | | B plot | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/31 |
Start Time | | 2002/05/31 09:02 |
End Time | | 2002/05/31 13:45 |
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 | | -23.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 2.64 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 187.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit297-02-20020531_090200_20020531_134700-constBx0 |
Minimum Dst Value | | -11 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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