Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit318-08-20020721_133100_20020721_181600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/07/21 |
Start Time | | 2002/07/21 13:31 |
End Time | | 2002/07/21 18:14 |
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 | | -30.78 |
Dipole Tilt, in Y-Z GSE plane, deg | | 16.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 188.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit318-08-20020721_133100_20020721_181600-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 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. |