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-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. |