Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit317-09-20020719_091200_20020719_135700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/19 |
Start Time | | 2002/07/19 09:12 |
End Time | | 2002/07/19 13:55 |
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 | | -23.79 |
Dipole Tilt, in Y-Z GSE plane, deg | | 22.03 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit317-09-20020719_091200_20020719_135700-constBx0 |
Minimum Dst Value | | -10 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
|
View interactive javascript plot of satellite positions during this run in a new window.
Satellite data B plot for Geotail for time period of this run.
![](data: image/png;base64,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)
| VMR Tools created by Darren De Zeeuw. |