Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit369-01-20021118_124500_20021118_173000-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/18 |
Start Time | | 2002/11/18 12:45 |
End Time | | 2002/11/18 17:28 |
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 | | 10.74 |
Dipole Tilt, in Y-Z GSE plane, deg | | 18.71 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 174.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit369-01-20021118_124500_20021118_173000-constBx0 |
Minimum Dst Value | | -38 |
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-12 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. |