Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit274-03-20020406_210700_20020407_015200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/06 |
Start Time | | 2002/04/06 21:07 |
End Time | | 2002/04/07 01:50 |
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 | | -5.78 |
Dipole Tilt, in Y-Z GSE plane, deg | | -32.78 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 206.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit274-03-20020406_210700_20020407_015200-constBx0 |
Minimum Dst Value | | 1 |
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-9 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. |