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- W2073149488 abstract "Abstract Operational meteorology and its supporting research are based on long-established beliefs that important weather changes are preceded by recognizable meteorological events, and that forecasting accuracy improves along with increased density and frequency of observations and increased computational power. While in recent years these increases have become enormous, weather forecasting has not comparably improved; also, pressure distribution is now predicted no better by “dynamical” numerical methods than by statistical methods. Turbulence may be to blame for this poor performance. Its role has been obscured by the crude statistical representations used by meteorologists. Recent research in fluid dynamics, however, suggests that true turbulence is so strongly intermittent and anisotropic that it effects most of the atmospheric mixing and transfer processes in only 5 to 10% of the time and that it cannot be properly incorporated in either dynamical or statistical models. The hypothesis is then advanc..." @default.
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- W2073149488 date "1975-01-01" @default.
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- W2073149488 title "Prognosis for Weather Forecasting" @default.
- W2073149488 doi "https://doi.org/10.1175/1520-0477(1975)056<0004:pfwf>2.0.co;2" @default.
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