Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit359-12-20021027_221000_20021028_025100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/27 |
Start Time | | 2002/10/27 22:10 |
End Time | | 2002/10/28 02:49 |
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 | | 18.02 |
Dipole Tilt, in Y-Z GSE plane, deg | | 10.15 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit359-12-20021027_221000_20021028_025100-constBx0 |
Minimum Dst Value | | -59 |
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. |