Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit344-04-20020920_152600_20020920_201100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/09/20 |
Start Time | | 2002/09/20 15:26 |
End Time | | 2002/09/20 20:09 |
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 | | -10.87 |
Dipole Tilt, in Y-Z GSE plane, deg | | 18.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 165.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit344-04-20020920_152600_20020920_201100-constBx0 |
Minimum Dst Value | | -19 |
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 Cluster-1 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. |