Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit247-12-20020203_103700_20020203_151800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/03 |
Start Time | | 2002/02/03 10:37 |
End Time | | 2002/02/03 15:16 |
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 | | 11.73 |
Dipole Tilt, in Y-Z GSE plane, deg | | -7.45 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 226.30000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit247-12-20020203_103700_20020203_151800-constBx0 |
Minimum Dst Value | | -32 |
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-10 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. |