Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit399-07-20030130_021300_20030130_065800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/30 |
Start Time | | 2003/01/30 02:13 |
End Time | | 2003/01/30 06:56 |
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 | | 28.79 |
Dipole Tilt, in Y-Z GSE plane, deg | | -19.81 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 117.60000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit399-07-20030130_021300_20030130_065800-constBx0 |
Minimum Dst Value | | -49 |
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-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,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)
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