Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit385-10-20021228_090700_20021228_135200-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
|
|
|
View standard CCMC run page. | ?? |
Event Date | | 2002/12/28 |
Start Time | | 2002/12/28 09:07 |
End Time | | 2002/12/28 13:50 |
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 | | 21.58 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.16 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 113.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit385-10-20021228_090700_20021228_135200-constBx0 |
Minimum Dst Value | | -49 |
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 Cluster-2 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. |