Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit298-01-20020602_132100_20020602_180600-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 | | 2002/06/02 |
Start Time | | 2002/06/02 13:21 |
End Time | | 2002/06/02 18:04 |
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 | | -31.47 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.38 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit298-01-20020602_132100_20020602_180600-constBx0 |
Minimum Dst Value | | -26 |
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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