Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Tristen_Wanner_092223_4 | |
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 | | | | - | GOES-9 | | | | - | GOES-10 | | | | - | GOES-11 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | B plot | Wind | | | | B plot |
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View standard CCMC run page. | ?? |
Event Date | | August 24, 2005 |
Start Time | | 2005/08/24 07:00 |
End Time | | 2005/08/24 14:00 |
Key Words | | G4eventGUMICS |
Model | | GUMICS |
Model Version | | 4-HC-20140326 |
Validation Level | | 0 |
Coordinate System for Input | | GSE |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 2.67 |
Dipole Tilt, in Y-Z GSE plane, deg | | -26.29 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 100.70000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Tristen_Wanner_092223_4 |
Minimum Dst Value | | -184 |
SW Source | | ACE-L2 |
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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