Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit316-03-20020715_193000_20020716_001400-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/15 |
Start Time | | 2002/07/15 19:30 |
End Time | | 2002/07/16 00:12 |
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 | | -23.71 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.24 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 164.80000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit316-03-20020715_193000_20020716_001400-constBx0 |
Minimum Dst Value | | 18 |
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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