Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit381-10-20021218_203600_20021219_012000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/18 |
Start Time | | 2002/12/18 20:36 |
End Time | | 2002/12/19 01:18 |
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 | | 23.83 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.91 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit381-10-20021218_203600_20021219_012000-constBx0 |
Minimum Dst Value | | 15 |
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-10 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. |