Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit391-04-20030110_110800_20030110_155300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/10 |
Start Time | | 2003/01/10 11:08 |
End Time | | 2003/01/10 15:51 |
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 | | 15.68 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.29 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 178.70000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit391-04-20030110_110800_20030110_155300-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 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. |