Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: D_RN_100622_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
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 |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | August 24, 2005 |
Start Time | | 2005/08/24 09:42 |
End Time | | 2005/08/24 11:38 |
Key Words | | diss |
Model | | OpenGGCM |
Model Version | | 5.0 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 9.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.69 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 33 |
F10.7 | | 100.70000 |
Conductance Model | | auroral |
Corotation | | no |
Run Number | | D_RN_100622_3 |
Minimum Dst Value | | -130 |
SW Source | | OMNI |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Geotail for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |