Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit346-01-20020924_192300_20020925_000800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/09/24 |
Start Time | | 2002/09/24 19:23 |
End Time | | 2002/09/25 00:06 |
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 | | -1.65 |
Dipole Tilt, in Y-Z GSE plane, deg | | 13.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 158.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit346-01-20020924_192300_20020925_000800-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-1 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. |