Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit335-07-20020830_194000_20020831_002500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/30 |
Start Time | | 2002/08/30 19:40 |
End Time | | 2002/08/31 00:23 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | -10.99 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.49 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 173.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit335-07-20020830_194000_20020831_002500-constBx0 |
Minimum Dst Value | | -17 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for IMP-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. |