Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit290-03-20020514_221900_20020515_030300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/05/14 |
Start Time | | 2002/05/14 22:19 |
End Time | | 2002/05/15 03:01 |
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 | | -15.21 |
Dipole Tilt, in Y-Z GSE plane, deg | | -23.86 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 164.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit290-03-20020514_221900_20020515_030300-constBx0 |
Minimum Dst Value | | -65 |
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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