Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Misha_Hayosh_092904_3 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 19 1997 |
Start Time | | 1997/02/19 5:15 |
End Time | | 1997/02/19 6:03 |
Key Words | | cusp flow |
Model | | BATSRUS |
Model Version | | v7.42 |
Validation Level | | 2 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -23.60 |
Dipole Tilt, in Y-Z GSE plane, deg | | 19.80 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Misha_Hayosh_092904_3 |
Minimum Dst Value | | -10 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for GOES-9 for time period of this run.
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |