Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit280-10-20020422_125900_20020422_174400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/22 |
Start Time | | 2002/04/22 12:59 |
End Time | | 2002/04/22 17:42 |
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 | | -21.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.75 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit280-10-20020422_125900_20020422_174400-constBx0 |
Minimum Dst Value | | -36 |
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-3 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. |