Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit383-01-20021221_200000_20021222_004500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/21 |
Start Time | | 2002/12/21 20:00 |
End Time | | 2002/12/22 00:43 |
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 | | 22.52 |
Dipole Tilt, in Y-Z GSE plane, deg | | -11.08 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 177.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit383-01-20021221_200000_20021222_004500-constBx0 |
Minimum Dst Value | | -40 |
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 GOES-11 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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