Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit253-03-20020215_221600_20020216_030100-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 22:16 |
End Time | | 2002/02/16 02:59 |
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 | | 18.36 |
Dipole Tilt, in Y-Z GSE plane, deg | | -30.06 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 190.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit253-03-20020215_221600_20020216_030100-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. |