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 Polar 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. |