Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit277-03-20020414_002300_20020414_050700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/14 |
Start Time | | 2002/04/14 00:23 |
End Time | | 2002/04/14 05:05 |
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 | | -1.18 |
Dipole Tilt, in Y-Z GSE plane, deg | | -27.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 211.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit277-03-20020414_002300_20020414_050700-constBx0 |
Minimum Dst Value | | -14 |
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 Polar 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. |