Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit357-03-20021021_090700_20021021_135100-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 | | | | - | GOES-9 | | | | - | GOES-10 | | | | - | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | B plot | Wind | | | | B plot |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/21 |
Start Time | | 2002/10/21 09:07 |
End Time | | 2002/10/21 13:49 |
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 | | 9.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | 31.18 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit357-03-20021021_090700_20021021_135100-constBx0 |
Minimum Dst Value | | -18 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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