Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit247-11-20020203_055100_20020203_103600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/03 |
Start Time | | 2002/02/03 05:51 |
End Time | | 2002/02/03 10:34 |
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 | | 23.20 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.22 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 226.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit247-11-20020203_055100_20020203_103600-constBx0 |
Minimum Dst Value | | -27 |
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. |