Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit302-05-20020612_203700_20020613_012100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/12 |
Start Time | | 2002/06/12 20:37 |
End Time | | 2002/06/13 01:19 |
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 | | -23.05 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.74 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 146.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit302-05-20020612_203700_20020613_012100-constBx0 |
Minimum Dst Value | | -18 |
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. |