Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit341-12-20020915_020200_20020915_064600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/09/15 |
Start Time | | 2002/09/15 02:02 |
End Time | | 2002/09/15 06:44 |
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 | | 7.30 |
Dipole Tilt, in Y-Z GSE plane, deg | | 27.17 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 189.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit341-12-20020915_020200_20020915_064600-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-9 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. |