Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit353-12-20021013_153400_20021013_201300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/13 |
Start Time | | 2002/10/13 15:34 |
End Time | | 2002/10/13 20:11 |
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 | | -1.34 |
Dipole Tilt, in Y-Z GSE plane, deg | | 17.38 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit353-12-20021013_153400_20021013_201300-constBx0 |
Minimum Dst Value | | -29 |
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-11 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. |