Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit298-11-20020604_130100_20020604_174600-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 | | 2002/06/04 |
Start Time | | 2002/06/04 13:01 |
End Time | | 2002/06/04 17:44 |
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 | | -31.46 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.12 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 174.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit298-11-20020604_130100_20020604_174600-constBx0 |
Minimum Dst Value | | -31 |
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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