Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit267-04-20020321_101500_20020321_145900-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/03/21 |
Start Time | | 2002/03/21 10:15 |
End Time | | 2002/03/21 14:57 |
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 | | -4.58 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.93 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 172.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit267-04-20020321_101500_20020321_145900-constBx0 |
Minimum Dst Value | | -9 |
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 Polar 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. |