Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit284-01-20020430_062300_20020430_110700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/04/30 |
Start Time | | 2002/04/30 06:23 |
End Time | | 2002/04/30 11:05 |
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 | | -9.86 |
Dipole Tilt, in Y-Z GSE plane, deg | | -9.13 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit284-01-20020430_062300_20020430_110700-constBx0 |
Minimum Dst Value | | -5 |
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-11 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. |