Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit323-12-20020803_055900_20020803_104300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/08/03 |
Start Time | | 2002/08/03 05:59 |
End Time | | 2002/08/03 10:41 |
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 | | -12.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | 24.33 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 172.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit323-12-20020803_055900_20020803_104300-constBx0 |
Minimum Dst Value | | -53 |
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 Polar 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. |