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• W4297907139 abstract "Using artificial data sets it was earlier demonstrated that noise in solar-wind variables alters the functional form of best-fit solar-wind driver functions (coupling functions) of geomagnetic activity. Using real solar-wind data that noise effect is further explored here with an aim at obtaining better best-fit formulas by removing noise in the real solar-wind data. Trends in the changes to best-fit solar-wind formulas are examined when Gaussian random noise is added to the solar-wind variables in a controlled fashion. Extrapolating those trends backward toward lower noise makes predictions for improved solar-wind driver formulas. Some of the error (noise) in solar-wind data comes from using distant L1 monitors for measuring the solar wind at Earth. An attempt is made to confirm the improvements in the solar-wind driver formulas by comparing results of best-fit formulas using L1 spacecraft measurements with best-fit formulas obtained from near-Earth spacecraft measurements from the IMP-8 spacecraft. However, testing this methodology fails owing to observed large variations in the best-fit-formula parameters from year-to-year and spacecraft-to-spacecraft, with these variations probably overwhelming the noise-correction variations. As an alternative to adding Gaussian random noise to the solar-wind variables, replacing a fraction of the values of the variables with other values was explored, yielding essentially the same noise trends as adding Gaussian noise." @default.
• W4297907139 created "2022-10-01" @default.
• W4297907139 creator A5057406038 @default.
• W4297907139 date "2022-09-20" @default.
• W4297907139 modified "2023-09-29" @default.
• W4297907139 title "Noise and solar-wind/magnetosphere coupling studies: Data" @default.
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• W4297907139 doi "https://doi.org/10.3389/fspas.2022.990789" @default.
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