Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit266-12-20020320_151100_20020320_195500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/03/20 |
Start Time | | 2002/03/20 15:11 |
End Time | | 2002/03/20 19:53 |
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 | | -10.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | -27.48 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 186.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit266-12-20020320_151100_20020320_195500-constBx0 |
Minimum Dst Value | | 7 |
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. |