Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit380-03-20021215_021800_20021215_070300-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 02:18 |
End Time | | 2002/12/15 07:01 |
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 | | 33.10 |
Dipole Tilt, in Y-Z GSE plane, deg | | 7.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 196.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit380-03-20021215_021800_20021215_070300-constBx0 |
Minimum Dst Value | | -39 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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