Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit359-03-20021026_031600_20021026_080100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/26 |
Start Time | | 2002/10/26 03:16 |
End Time | | 2002/10/26 07:59 |
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 | | 23.61 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.96 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 156.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit359-03-20021026_031600_20021026_080100-constBx0 |
Minimum Dst Value | | -47 |
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 Geotail 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. |