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 GOES-12 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. |