Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-06-20020629_165600_20020629_214400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/29 |
Start Time | | 2002/06/29 16:56 |
End Time | | 2002/06/29 21:42 |
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 | | -31.31 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-06-20020629_165600_20020629_214400-constBx0 |
Minimum Dst Value | | 5 |
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 GOES-8 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. |