Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit296-03-20020529_044200_20020529_092600-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 | | 2002/05/29 |
Start Time | | 2002/05/29 04:42 |
End Time | | 2002/05/29 09:24 |
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 | | -13.47 |
Dipole Tilt, in Y-Z GSE plane, deg | | -2.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 189.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit296-03-20020529_044200_20020529_092600-constBx0 |
Minimum Dst Value | | -20 |
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 Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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