Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit387-12-20030102_123900_20030102_172300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2003/01/02 |
Start Time | | 2003/01/02 12:39 |
End Time | | 2003/01/02 17:21 |
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 | | 14.29 |
Dipole Tilt, in Y-Z GSE plane, deg | | 0.95 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 114.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit387-12-20030102_123900_20030102_172300-constBx0 |
Minimum Dst Value | | -18 |
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-8 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. |