Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit298-06-20020603_131100_20020603_175600-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 | | 2002/06/03 |
Start Time | | 2002/06/03 13:11 |
End Time | | 2002/06/03 17:54 |
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 | | -1.75 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit298-06-20020603_131100_20020603_175600-constBx0 |
Minimum Dst Value | | -25 |
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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