Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit254-12-20020220_020500_20020220_064900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/20 |
Start Time | | 2002/02/20 02:05 |
End Time | | 2002/02/20 06:47 |
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 | | 22.46 |
Dipole Tilt, in Y-Z GSE plane, deg | | -25.11 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 189.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit254-12-20020220_020500_20020220_064900-constBx0 |
Minimum Dst Value | | -9 |
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. |