Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit246-04-20020130_112200_20020130_160700-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 | | 2002/01/30 |
Start Time | | 2002/01/30 11:22 |
End Time | | 2002/01/30 16:05 |
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 | | 11.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 248.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit246-04-20020130_112200_20020130_160700-constBx0 |
Minimum Dst Value | | -1 |
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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