Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Simona_Nitti_012023_2 | |
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_012023_2 |
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 Cluster-2 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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