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 GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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