Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-10-20020523_104700_20020523_153100-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 | | 2002/05/23 |
Start Time | | 2002/05/23 10:47 |
End Time | | 2002/05/23 15:29 |
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 | | -26.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.78 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-10-20020523_104700_20020523_153100-constBx0 |
Minimum Dst Value | | -63 |
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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