Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit291-11-20020518_213200_20020519_021700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/05/18 |
Start Time | | 2002/05/18 21:32 |
End Time | | 2002/05/19 02:15 |
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 | | -17.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | -23.38 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit291-11-20020518_213200_20020519_021700-constBx0 |
Minimum Dst Value | | -3 |
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-4 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. |