Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit329-08-20020816_173900_20020816_222300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/16 |
Start Time | | 2002/08/16 17:39 |
End Time | | 2002/08/16 22:21 |
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 | | -20.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.94 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 219.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit329-08-20020816_173900_20020816_222300-constBx0 |
Minimum Dst Value | | -18 |
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-4 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. |