Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit382-09-20021221_010300_20021221_054800-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 01:03 |
End Time | | 2002/12/21 05:46 |
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 | | 32.57 |
Dipole Tilt, in Y-Z GSE plane, deg | | -5.30 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 177.90000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit382-09-20021221_010300_20021221_054800-constBx0 |
Minimum Dst Value | | -75 |
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 IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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