Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Ye_Tian_020720_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | July 13, 2000 |
Start Time | | 2000/07/13 03:00 |
End Time | | 2000/07/16 08:00 |
Key Words | | Magnetopause |
Model | | LFM |
Model Version | | LTR-2_1_5 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | SM |
Dipole Tilt, in the X-Z Plane, at Start deg | | 12.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.84 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 30 |
F10.7 | | 239.60000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | Ye_Tian_020720_3 |
Minimum Dst Value | | -301 |
SW Source | | ACE-realtime |
Diagnostic Indices | | NO |
|
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. |