Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit366-09-20021112_233300_20021113_041800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/11/12 |
Start Time | | 2002/11/12 23:33 |
End Time | | 2002/11/13 04:16 |
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 | | 25.43 |
Dipole Tilt, in Y-Z GSE plane, deg | | 7.60 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 174.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit366-09-20021112_233300_20021113_041800-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 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. |