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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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