Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit255-03-20020220_162400_20020220_210800-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 16:24 |
End Time | | 2002/02/20 21:06 |
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 | | 2.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | -26.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 189.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit255-03-20020220_162400_20020220_210800-constBx0 |
Minimum Dst Value | | -6 |
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. |