Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit367-07-20021114_231000_20021115_035500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/14 |
Start Time | | 2002/11/14 23:10 |
End Time | | 2002/11/15 03:53 |
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 | | 25.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 6.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit367-07-20021114_231000_20021115_035500-constBx0 |
Minimum Dst Value | | -25 |
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 IMP-8 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. |