Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit313-09-20020709_204600_20020710_013100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/09 |
Start Time | | 2002/07/09 20:46 |
End Time | | 2002/07/10 01:29 |
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 | | -21.54 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.68 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 140.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit313-09-20020709_204600_20020710_013100-constBx0 |
Minimum Dst Value | | -20 |
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. |