Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit328-05-20020813_182100_20020813_230600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/13 |
Start Time | | 2002/08/13 18:21 |
End Time | | 2002/08/13 23:04 |
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 | | -19.74 |
Dipole Tilt, in Y-Z GSE plane, deg | | 9.11 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit328-05-20020813_182100_20020813_230600-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 Cluster-3 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. |