Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit289-07-20020513_081600_20020513_130000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/05/13 |
Start Time | | 2002/05/13 08:16 |
End Time | | 2002/05/13 12:58 |
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 | | -17.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.91 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 175.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit289-07-20020513_081600_20020513_130000-constBx0 |
Minimum Dst Value | | -29 |
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-2 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. |