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.
Satellite data B plot for Geotail for time period of this run.
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)
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