Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit309-07-20020629_214500_20020630_023300-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 21:45 |
End Time | | 2002/06/30 02:31 |
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 | | -20.14 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.12 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 147.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit309-07-20020629_214500_20020630_023300-constBx0 |
Minimum Dst Value | | 8 |
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-11 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. |