Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit332-05-20020823_064700_20020823_113200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/23 |
Start Time | | 2002/08/23 06:47 |
End Time | | 2002/08/23 11:30 |
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 | | -8.12 |
Dipole Tilt, in Y-Z GSE plane, deg | | 30.09 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 229.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit332-05-20020823_064700_20020823_113200-constBx0 |
Minimum Dst Value | | -25 |
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. |