Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit252-11-20020215_031800_20020215_080300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/15 |
Start Time | | 2002/02/15 03:18 |
End Time | | 2002/02/15 08:01 |
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 | | 24.16 |
Dipole Tilt, in Y-Z GSE plane, deg | | -24.22 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit252-11-20020215_031800_20020215_080300-constBx0 |
Minimum Dst Value | | -7 |
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. |