Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit298-05-20020603_082500_20020603_131000-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 08:25 |
End Time | | 2002/06/03 13:08 |
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 | | -21.99 |
Dipole Tilt, in Y-Z GSE plane, deg | | 3.83 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit298-05-20020603_082500_20020603_131000-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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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