Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: jian_yang_072508_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | October 29 2004 |
Start Time | | 2004/10/29 09:00 |
End Time | | 2004/10/29 13:00 |
Key Words | | 20041029 |
Model | | BATSRUS with RCM |
Model Version | | v7.73 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -20.00 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 127.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | jian_yang_072508_1 |
Minimum Dst Value | | 7 |
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-11 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. |