Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit357-04-20021021_135200_20021021_183600-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 13:52 |
End Time | | 2002/10/21 18:34 |
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 | | 1.24 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.69 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit357-04-20021021_135200_20021021_183600-constBx0 |
Minimum Dst Value | | -21 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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