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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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