Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit357-02-20021021_042200_20021021_090600-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 04:22 |
End Time | | 2002/10/21 09:04 |
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 | | 21.01 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.61 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit357-02-20021021_042200_20021021_090600-constBx0 |
Minimum Dst Value | | -20 |
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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