Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Patrick_Daum_050706_2 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | February 14 2001 |
Start Time | | 2001/02/14 9:50 |
End Time | | 2001/02/14 9:58 |
Key Words | | Cluster_Eiscat_FTE2 |
Model | | BATSRUS |
Model Version | | v7.73 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -16.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.70 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 150.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Patrick_Daum_050706_2 |
Minimum Dst Value | | 0 |
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-8 for time period of this run.
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |