Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit295-08-20020527_192500_20020528_000900-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 | | 2002/05/27 |
Start Time | | 2002/05/27 19:25 |
End Time | | 2002/05/28 00:07 |
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 | | -24.92 |
Dipole Tilt, in Y-Z GSE plane, deg | | -20.82 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 191.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit295-08-20020527_192500_20020528_000900-constBx0 |
Minimum Dst Value | | -51 |
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-3 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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