Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit248-08-20020205_003300_20020205_051700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/02/05 |
Start Time | | 2002/02/05 00:33 |
End Time | | 2002/02/05 05:15 |
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 | | 26.18 |
Dipole Tilt, in Y-Z GSE plane, deg | | -24.20 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 214.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit248-08-20020205_003300_20020205_051700-constBx0 |
Minimum Dst Value | | -36 |
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. |