Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit274-09-20020408_014300_20020408_062800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/08 |
Start Time | | 2002/04/08 01:43 |
End Time | | 2002/04/08 06:26 |
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 | | 2.57 |
Dipole Tilt, in Y-Z GSE plane, deg | | -18.45 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit274-09-20020408_014300_20020408_062800-constBx0 |
Minimum Dst Value | | 3 |
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. |