Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit354-06-20021014_200300_20021015_004800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/10/14 |
Start Time | | 2002/10/14 20:03 |
End Time | | 2002/10/15 00:46 |
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 | | 7.93 |
Dipole Tilt, in Y-Z GSE plane, deg | | 11.55 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 180.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit354-06-20021014_200300_20021015_004800-constBx0 |
Minimum Dst Value | | -54 |
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-8 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. |