Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit290-11-20020516_121900_20020516_170300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/05/16 |
Start Time | | 2002/05/16 12:19 |
End Time | | 2002/05/16 17:01 |
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 | | -27.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | -6.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 162.00000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit290-11-20020516_121900_20020516_170300-constBx0 |
Minimum Dst Value | | -28 |
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. |