Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: CCMC_CCMC_082908_3a | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | August 31 2001 |
Start Time | | 2001/08/31 00:00 |
End Time | | 2001/09/01 00:00 |
Key Words | | GEM 2008 Metrics Challenge |
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 | | 5.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.30 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 192.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | CCMC_CCMC_082908_3a |
Minimum Dst Value | | -40 |
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-8 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. |