Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit293-07-20020522_203200_20020523_011600-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 20:32 |
End Time | | 2002/05/23 01:14 |
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 | | -21.31 |
Dipole Tilt, in Y-Z GSE plane, deg | | -22.64 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit293-07-20020522_203200_20020523_011600-constBx0 |
Minimum Dst Value | | -6 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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