Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Yuni_Lee_013010_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | August 17 2001 |
Start Time | | 2001/08/17 09:30 |
End Time | | 2001/08/17 12:00 |
Key Words | | run2001 |
Model | | BATSRUS |
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 | | 10.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.00 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 148.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Yuni_Lee_013010_1 |
Minimum Dst Value | | 1 |
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-9 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. |