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.
Satellite data B plot for Polar for time period of this run.
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |