Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit295-10-20020528_045500_20020528_093900-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 | | 2002/05/28 |
Start Time | | 2002/05/28 04:55 |
End Time | | 2002/05/28 09:37 |
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 | | -13.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.50 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 191.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit295-10-20020528_045500_20020528_093900-constBx0 |
Minimum Dst Value | | -27 |
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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