Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-06-20020522_154700_20020522_203100-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 | | 2002/05/22 |
Start Time | | 2002/05/22 15:47 |
End Time | | 2002/05/22 20:29 |
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 | | -30.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | -17.29 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-06-20020522_154700_20020522_203100-constBx0 |
Minimum Dst Value | | -12 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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