Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit255-01-20020220_065400_20020220_113800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/20 |
Start Time | | 2002/02/20 06:54 |
End Time | | 2002/02/20 11:36 |
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 | | 15.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.18 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 189.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit255-01-20020220_065400_20020220_113800-constBx0 |
Minimum Dst Value | | -15 |
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-10 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. |