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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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