Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: James_Lane_072720_1 | |
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 | | | | B plot | GOES-12 | | | | B plot | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | - | Wind | | | | B plot |
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View standard CCMC run page. | ?? |
Event Date | | October 12, 2006 |
Start Time | | 2006/10/12 00:29 |
End Time | | 2006/10/12 00:33 |
Key Words | | duskdawnmagnetotailuntwisting |
Model | | OpenGGCM |
Model Version | | 4.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -12.35 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 73.30000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | James_Lane_072720_1 |
Minimum Dst Value | | 0 |
SW Source | | ACE-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-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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