Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Simona_Nitti_013023_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 | | | | - | GOES-12 | | | | - | Geotail | | | | B plot | IMP-8 | | | | - | Polar | | | | B plot | Wind | | | | B plot |
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View standard CCMC run page. | ?? |
Event Date | | June 23, 2005 |
Start Time | | 2005/06/23 07:33 |
End Time | | 2005/06/23 11:48 |
Key Words | | 052 |
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 | | 15.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.77 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 80.10000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | Simona_Nitti_013023_1 |
Minimum Dst Value | | -85 |
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 GOES-12 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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