Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Katrina_Magno_072911_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 12 2008 |
Start Time | | 2008/01/12 13:55 |
End Time | | 2008/01/12 15:35 |
Key Words | | Magnetosphere2008 |
Model | | BATSRUS with RCM |
Model Version | | v8.01 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -13.60 |
Dipole Tilt, in Y-Z GSE plane, deg | | 1.20 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 73.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Katrina_Magno_072911_1 |
Minimum Dst Value | | 8 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-10 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. |