Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: shipra_Sinha_011422_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | January 21, 2005 |
Start Time | | 2005/01/21 17:00 |
End Time | | 2005/01/21 18:28 |
Key Words | | Dipolarization |
Model | | SWMF |
Model Version | | v20180525 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -9.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | 12.92 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 32 |
F10.7 | | 109.90000 |
Conductance Model | | auroral |
Corotation | | real |
Run Number | | shipra_Sinha_011422_2 |
Minimum Dst Value | | -22 |
SW Source | | OMNI |
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. |