Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-09-20020802_154400_20020802_202800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/02 |
Start Time | | 2002/08/02 15:44 |
End Time | | 2002/08/02 20:26 |
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 | | -27.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.55 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 185.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-09-20020802_154400_20020802_202800-constBx0 |
Minimum Dst Value | | -55 |
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-9 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. |