Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit259-11-20020303_185700_20020303_234200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/03/03 |
Start Time | | 2002/03/03 18:57 |
End Time | | 2002/03/03 23:40 |
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 | | 2.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | -32.00 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 179.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit259-11-20020303_185700_20020303_234200-constBx0 |
Minimum Dst Value | | -39 |
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. |