Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-06-20021215_163600_20021215_212100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/15 |
Start Time | | 2002/12/15 16:36 |
End Time | | 2002/12/15 21:19 |
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 | | 15.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | -3.90 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-06-20021215_163600_20021215_212100-constBx0 |
Minimum Dst Value | | -31 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for Cluster-4 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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