Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit371-10-20021125_014800_20021125_063300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/25 |
Start Time | | 2002/11/25 01:48 |
End Time | | 2002/11/25 06:31 |
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 | | 30.44 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.91 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 133.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit371-10-20021125_014800_20021125_063300-constBx0 |
Minimum Dst Value | | -41 |
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. |