Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit385-02-20021226_185900_20021226_234400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/26 |
Start Time | | 2002/12/26 18:59 |
End Time | | 2002/12/26 23:42 |
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 | | 19.76 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.37 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 123.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit385-02-20021226_185900_20021226_234400-constBx0 |
Minimum Dst Value | | -29 |
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 Polar 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. |