Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-12-20021216_211200_20021217_015100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/16 |
Start Time | | 2002/12/16 21:12 |
End Time | | 2002/12/17 01:49 |
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 | | 25.15 |
Dipole Tilt, in Y-Z GSE plane, deg | | -8.97 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-12-20021216_211200_20021217_015100-constBx0 |
Minimum Dst Value | | -6 |
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. |