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