Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit294-02-20020524_055100_20020524_103500-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 | | 2002/05/24 |
Start Time | | 2002/05/24 05:51 |
End Time | | 2002/05/24 10:33 |
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 | | -12.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -16.22 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 193.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit294-02-20020524_055100_20020524_103500-constBx0 |
Minimum Dst Value | | -73 |
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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