Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit280-08-20020422_032700_20020422_081200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/22 |
Start Time | | 2002/04/22 03:27 |
End Time | | 2002/04/22 08:10 |
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 | | -2.88 |
Dipole Tilt, in Y-Z GSE plane, deg | | -15.76 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 171.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit280-08-20020422_032700_20020422_081200-constBx0 |
Minimum Dst Value | | -55 |
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. |