Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Swadesh_Patra_100411_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 03:00 |
End Time | | 2001/08/18 02:59 |
Key Words | | Flow Out Loss, Convection |
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 | | 3.60 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.40 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 148.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Swadesh_Patra_100411_1 |
Minimum Dst Value | | -105 |
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. |