Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit302-10-20020613_202200_20020614_010600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/06/13 |
Start Time | | 2002/06/13 20:22 |
End Time | | 2002/06/14 01:04 |
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 | | -23.77 |
Dipole Tilt, in Y-Z GSE plane, deg | | -14.41 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 137.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit302-10-20020613_202200_20020614_010600-constBx0 |
Minimum Dst Value | | -19 |
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 Cluster-2 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. |